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2017年第2期

时间:2017-03-06 17:19:26??来源:??作者:

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具有未知转移概率Markovian神经网络渐近稳定性研究
路阳1,衣淑娟1,任伟建2,刘建东3
1. 黑龙江八一农垦大学信息技术学院,黑龙江大庆 1633192. 东北石油大学电气信息工程学院,黑龙江大庆 1633186xPag8879环亚手机|首页主页
3.
北京电子工程总体研究所北京 100854
摘要:针对一类具有部分未知转移概率的离散时延Markovian跳跃神经网络系统,建立了更具一般代表性的随机神经网络动力学模型,研究其渐近稳定性问题。假定转移概率部分元素未知,系统中的不确定为范数有界,基于Lyapunov稳定性理论,通过构造适合的Lyapunov-Krasovskii泛函并利用随机分析方法,给出了离散Markovian神经网络系统全局渐近稳定的充分性判据。通过MatlabLMI工具箱,求解线性矩阵不等式对判据进行检验,新的判据减少了结果的保守性。数值仿真算例验证了所给判据的有效性。
关键词:神经网络;马尔可夫跳跃参数;部分未知转移概率;渐近稳定性
中图分类号:TP391.9?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0235-07
DOI: 10.16182/j.issn1004731x.joss.201702001
Research on Asymptotic Stability for Markovian Jumping Neural Network with Unknown Transition Probabilities
Lu Yang1, Yi Shujuan1, Ren Weijian2, Liu Jiandong3
(1. College of Information and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China; 2. College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China; 3. Beijing Institute of Electronic System Engineering, Beijing 100854, China)
Abstract: The analysis problem of asymptotic stability for a class of uncertain neural networks with Markovian jumping parameters and time delays was addressed. The general representative dynamic stochastic neural network model was established. The considered transition probabilities were assumed to be partially unknown. The parameter uncertainties were considered to be norm-bounded. Based on Lyapunov stability theory, by constructing a suitable Lyapunov-Krasovskii function and using the stochastic analysis method, some sufficient criteria for the stability of discrete Markovian neural networks was derived. Through the Matlab LMI toolbox, solving a set of linear matrix inequalities to test criterion, the new criterion reduced the conservatism of the results. A numerical example illustrates the effectiveness of the proposed theory.
Keywords: neural networks; Markovian jumping parameters; partly unknown transition probabilities; asymptotic stability
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战场环境体素模型适应性分析及体要素分类方法研究
蒋秉川1,万刚1,范承啸2,夏青1
(1. 信息工程大学地理空间信息学院,河南 郑州,450052;2. 西安测绘总站,陕西 西安,710054)
摘要:针对基于面模型的战场环境建模难以反映整个战场环境要素的全貌和细节的不足,详细阐述了体素与体素模型的概念和特点,分析了利用体素模型在战场陆地环境、气象环境、电磁环境和海洋环境实现建模和可视化的研究现状。讨论了体素模型对战场环境各要素建模的适应性,分析了战场环境中适合进行体建模的体要素的特点,并进行了分类,为进一步利用体素模型和体绘制技术实现战场环境的建模与可视化打下基础。
关键词:体素;体素模型;适应性;体绘制;体要素;战场环境建模;体建模
中图分类号:TP391.9?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0241-07
DOI: 10.16182/j.issn1004731x.joss.201702002
Research on Adaptive Analysis for Battlefield Environment Voxel Model and Classification Method of Volume Elements
Jiang Bingchuan1, Wan Gang1, Fan Chengxiao2, Xia Qing1
(1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China; 6xPag8879环亚手机|首页主页
2. Technical Station of Surveying and Mapping, Xi’an 710054, China.)
Abstract: For the lack of battlefield environment modeling based on surface model, the whole elements and details of the battle-field environment were described. The fundamental conception and feature of the voxel and voxel model were discussed. The battle-field environment modeling and visualization like battle-filed terrestrial environment, weather environment, electromagnetic environment and ocean environment were analyzed and researched using the voxel model. The adaptability of each battlefield environment elements modeling was discussed using the Voxel model, and the elements were classified which were suitable with the voxel model. It is the basis for modeling and visualizing the battlefield environment elements using voxel model and volume rendering in the future.
Keywords: voxel; voxel model; adaptability; volume render; volume elements; battlefield environment modeling; volume modeling
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求解圆排列问题的粒子群蚁群优化算法
徐小平1,朱秋秋1,王峰2
(1. 西安理工大学理学院,西安 710054;2. 西安交通大学数学与统计学院,西安 710049)
摘要:提出一种求解圆排列问题的粒子群蚁群优化算法。分析了圆排列问题与旅行商问题的关系后,将圆排列问题转化为旅行商问题,并将其转化为一个优化问题。为了改善算法的性能,这里给出了利用粒子群蚁群优化算法来求解圆排列问题的四种新方案。在数值仿真中,与已有算法进行了比较,实验结果验证了所给方法是合理的和可行的。也就是说,所提四种新算法收敛速度快,寻优性能优越。
关键词:圆排列问题;旅行商问题;组合优化;粒子群优化算法;蚁群算法
中图分类号:TP301?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0248-08
DOI: 10.16182/j.issn1004731x.joss.201702003
Particle Swarm Ant Colony Optimization Algorithm for Solving Circle Permutation Problem
Xu Xiaoping1, Zhu Qiuqiu1, Wang Feng2
(1. School of sciences, Xi’an University of Technology, Xi’an 710054, China;6xPag8879环亚手机|首页主页
2. School of Mathematics and Statistics Sciences, Xi’an Jiaotong University, Xi’an 710049, China)
Abstract: A particle swarm ant colony optimization algorithm of solving circle permutation problem was proposed. Based on the basis of analyzing relationship between circular permutation problem and traveling salesman problem, circular permutation problem was translated into traveling salesman problem, and it was further transformed into an optimization problem. In order to further improve the performance of the algorithm, here, four kinds of new scheme were proposed to solve circular permutation problem based on particle swarm ant colony optimization algorithm. In the simulation experiments, compared with the existing algorithm, the simulation results show that the proposed method is reasonable and feasible. Namely, the proposed four kinds of new algorithm have fast convergence speed and optimal performance.
Keywords: circle permutation problem; traveling salesman problem; combinatorial optimization; particle swarm optimization algorithm; ant colony algorithm
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基于DIVA模型的中文复合元音发音方法研究
张少白,陈燕俐,何利文
(南京邮电大学计算机学院,江苏 南京 210046)
摘要:DIVA(Directions Into Velocities of Articulators)模型是一种被用来对涉及大脑中有关语音生成和理解区域的功能进行仿真和描述的自适应神经网络模型,其依赖的语言背景是英文29个基本音素。由于汉语与英语发音区别很大,且加工脑机制也颇为不同,要想将汉语者大脑思维过程“阅读”出来,需要对模型汉语背景的适应性进行专门研究。DIVA模型的基础上研究汉语复合元音的发音方法,探讨汉语者脑区语音生成与获取的相关问题。通过调节模型的共振峰以及模拟声道对应器官的参数,新构建的模型能很好地辨识汉语与英语元音的区别。该研究为DIVA模型汉语语音生成与获取奠定了良好的基础。
关键词:DIVA模型;语音发音;汉语复合元音;LPMCC
中图分类号:TP183 ??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0255-09
DOI: 10.16182/j.issn1004731x.joss.201702004
Research of Chinese Diphthongs Pronunciation Based on DIVA Model
Zhang Shaobai, Chen Yanli, He Liwen
(Computer Department, Nanjing University of Posts and Telecommunications, Nanjing 210046, China)
Abstract: DIVA (Directions Into Velocities of Articulators) is a kind of adaptive neural network model which is used to simulate and describe some associative functions in brain regions involved speech production and understanding. DIVA takes 29 essential English phonemes as its language background. Since the number of Chinese pronunciation phonemes is much larger than English and the pronunciation brain mechanisms of both also make a big difference, the adaptability of DIVA model for Chinese background has to be studied specially, in order that the model can “read out” the thinking processes in Chinese brain. Based on DIVA, the Chinese pronunciation of diphthongs was explored and related issues on Chinese brain regions involved speech production and acquisition were discussed. The new modified model can distinguish Chinese vowels from English vowels clearly by adjusting formant and the parameters of the corresponding pronunciation organs in DIVA’s simulative vocal tract. This research lays a solid foundation for further comprehensive Chinese speech production and acquisition on DIVA model.
Keywords: DIVA model; speech sound; Chinese compound vowel; LPMCC
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具有入侵杂草策略的花朵授粉算法
肖辉辉1,2,段艳明1
(1. 河池学院计算机与信息工程学院,广西 宜州 546300;2. 江西财经大学信息管理学院,江西 南昌 330013)
摘要:针对花朵授粉算法易陷入局部极值、收敛速度慢的不足,提出一种具有入侵杂草策略的花朵授粉算法。该算法通过入侵杂草的繁殖、空间扩散和竞争策略,动态生成种群,增加种群的多样性和有效性,使算法能有效地避免陷入局部最优,增强全局寻优能力,提高收敛速度。通过8个CEC2005 benchmark测试函数进行测试比较,仿真结果表明,改进算法的全局寻优能力明显优于基本的花朵授粉算法、差分进化算法和蝙蝠算法,其收敛精度、收敛速度、鲁棒性均较对比算法有较大提高。
关键词:花朵授粉算法;寻优性能;入侵杂草算法;适应度值
中图分类号:TP301.6????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0264-09
DOI: 10.16182/j.issn1004731x.joss.201702005
Flower Pollination Algorithm with Invasive Weed Optimization
Xiao Huihui1,2, Duan Yanming1
(1. College of Computer and Information Engineering, Hechi University, Yizhou 546300, China;6xPag8879环亚手机|首页主页
2. School of Information and Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China)
Abstract: In order to overcome the problems of easily relapsing into local extremum and low speed of convergence, a flower pollination algorithm with invaded weeds strategy was propsed. The algorithm generate dynamically populations, and creased the diversity and effectiveness of population by breeding, spatial diffusion and competition of invasive weeds. It could effectively avoid local optimum, enhance the capacity of global optimization, and improve the convergence speed. The comparison and analysis results of the 8 CEC2005 benchmark functions, the simulation results show that the proposed algorithm has the advantages of better global searching ability, faster convergence and more precise convergence than those of the basic flower pollination algorithm, differential evolution algorithm and bat algorithm.
Keywords: Flower Pollination Algorithm; optimization performance; Invasive Weed Optimization Algorithm; fitness
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可重构的光线追踪处理器架构模型及仿真
曹小鹏1,2,韩俊刚2
(1. 西安电子科技大学计算机学院,陕西 西安 710061;2. 西安邮电大学计算机学院,陕西 西安 710121)
摘要:虽然图形处理器发展迅速,但核心染色算法仍然沿用传统光栅化方法,对复杂光照的精确模拟效果较差。光线追踪算法模拟几何光学,能够实现较好的视觉效果,但运算量大。研究光线追踪算法的特点,对算法中各部分的计算量进行了定量分析,设计了新的流水线。提出了一种动态可重构的光线追踪图形处理器(RTGPU)架构模型,设计了将流水线映射到该架构的算法。开发了仿真平台,对流水线、硬件架构模型及映射算法进行了仿真。结果表明,在算法执行效率上,与CPU相比,RTGPU执行加速比达到了11,与GPU相比,执行效率显着提高。
关键词:光线追踪;可重构;流水线;硬件架构;仿真
中图分类号:TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0273-09
DOI: 10.16182/j.issn1004731x.joss.201702006
Reconfigurable RTGPU’s Architecture and Simulation
Cao Xiaopeng1,2, Han Jungang2
(1. School of Computer Science and Technology, Xidian University, Xi’an 710061, China; 6xPag8879环亚手机|首页主页
2. Department of computer, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)
Abstract: Although GPU has developed rapidly, the core still uses rasterization and it is a hard problem for the complex scene. The ray tracing can simulate the geometrical optics and get the better effect, but it needs the amounts of computing power. Thus, the characteristic of the ray tracing was studied andthe new pipeline was designed. A dynamic reconfigurable hardware architecture (RTGPU) was put forward mapping the pipeline to it. A simulation platform was designed. According to results of experiments, more than 11x on RTGPU could be gained achieving the better performance than GPU.
Keywords: ray tracing; reconfigurable; pipeline; hardware architecture; simulation
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Progressive Image Denoising Algorithm
Li Haiyang1,2, Cao Weiguo1,2, Li Shirui1,2, Tao Kelu1,2, Li Hua1,2
(1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;6xPag8879环亚手机|首页主页
2. University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract:Currently almost all denoising algorithms are implemented by processing original noisy image itself simply, which could not enhance the performance further by combining original noisy image with the denoised image. To solve the problem, a framework of progressive image denoising method was proposed. The framework is based on the block matching and 3D collaborative filtering (BM3D) algorithm, which has the most remarkable denoising effect. It includes three layers and two fusions. Each layer is implemented by BM3D and denoises the fused image generated from the previous layers. Adequate statistical results show that under the same noise condition, our proposed method and another new algorithm can improve original BM3D on PSNR to different degrees, but ours has a better performance. As the noise increases, the performance improvement is more remarkable, which means that the proposed method can improve CT imaging quality and obtain good results.
Key words:block matching and 3D collaborative filtering; non-local similarity; image fusion; progressive
渐进式图像去噪算法
李海洋1,2,曹伟国1,2,李诗锐1,2,陶克路1,2,李华1,2
(1. 中国科学院计算技术研究所智能信息处理重点实验室,北京 100190;2. 中国科学院大学,北京 100049)
摘要:目前绝大多数的图像去噪算法只通过单纯处理原始噪声图本身来实现,并没有考虑将原始噪声图和去噪图相结合来进一步提升去噪性能。针对该问题,我们提出一种渐进式图像去噪算法框架。该框架基于目前去噪效果最为显着的三维块匹配算法,采用三层两次融合的设计结构,每层均采用三维块匹配算法,且每层在之前去噪基础上通过进一步融合再次去噪。充分的统计实验结果表明,在同样噪声条件下,我们的方法和另外一个最新改进算法在峰值信噪比方面相对于原始三维块匹配算法都有不同程度地提升,并且新提出的算法较传统三维块匹配算法有更好的去噪性能;随噪声程度的加大,算法性能提高的幅度愈加明显,在改善CT成像质量方面获得较好的成像效果。
关键词:三维块匹配;非局部相似性;图像融合;渐进式
中图分类号:TP391.9?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0282-13
DOI: 10.16182/j.issn1004731x.joss.201702007
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基于鸡群优化的粒子滤波算法研究
张建春1,2,康凤举1,2,梁洪涛1,2,徐皓1,2
(1. 西北工业大学航海学院,西安 710072;2. 水下信息处理与控制国家级重点实验室,西安 710072)
摘要:针对粒子滤波中重采样所引起的粒子贫化问题,在将鸡群优化算法融入到粒子滤波采样阶段的基础上,提出了一种鸡群优化粒子滤波算法。该算法将粒子权值作为适应度以确定粒子的类型及相互关系,通过不同类型粒子的运动机制完成相应的位置更新,并利用动态变化的粒子群体结构来克服陷入局部最优的不足和加快寻优速度,使粒子向后验概率的高似然区域运动,既保证了样本多样性又提高了粒子质量。仿真实验结果表明该方法提高了滤波的估计精度并保持了滤波过程中粒子的多样性,同时减少了状态估计所需的粒子数量。
关键词:鸡群优化算法;粒子滤波;粒子贫化;状态估计
中图分类号:TP391.9 ??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0295-07
DOI: 10.16182/j.issn1004731x.joss.201702008
Research on Chicken Swarm Optimization-based Particle Filter
Zhang Jianchun1,2, Kang Fengju1,2, Liang Hongtao1,2, Xu Hao1,2
(1. Marine College, Northwestern Polytechnical University, Xi'an 710072, China;6xPag8879环亚手机|首页主页
2. National Key Laboratory of Underwater Information Process and Control, Xi’an 710072, China)
Abstract: To solve the particle impoverishment caused by resampling in particle fileter (PF), the Chicken Swarm Optimization (CSO) was integrated into the sampling phase of generic particle filter and an intelligent optimized particle filter of CSO was proposed. According to the weight of focused particles as the fitness, the type of each particle in the population and interrelation between each one was determined. Various designed mechanisms about individual movement were introduced to update the location. Moreover, the dynamical structure of particle population was utilized to overcome weakness of local optimum and improve the optimization. On the basis, particles moved towards to the high likelihood region of posterior probability density. As a result, the diversity of samples was kept and quality of particles was ameliorated. The result of simulation experiment shows that this algorithm has higher estimation accuracy and keeps the diversity of particles, and reduces the quantity of particles required by the state estimation.
Keywords: chicken swarm optimization; particle filter; particle impoverishment; state estimation
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具有自学习能力的变异蝙蝠优化算法及性能仿真
尚俊娜1,刘春菊1*,岳克强2,李林1
(1.杭州电子科技大学通信工程学院,浙江 杭州 310018;2.杭州电子科技大学电子信息学院,浙江 杭州 310018)
摘要:针对标准蝙蝠算法进化特点,提出了具有自学习能力和个体变异的蝙蝠优化算法,该算法中全局最优个体具有自学习能力,使全局最优解在小范围内进行自我优化,能够引导算法中个体进行深度搜索;同时算法中每个个体动态的成比例形成变异群,依据贪婪选择机制,保护了优良个体,避免个体退化。通过以上算子的融入来提高算法的优化精度和收敛速度,避免算法早熟。通过对基本标准函数的测试,验证了算法具有寻优能力强,搜索精度高的优点,能有效的跳出局部最优,一定程度上弥补了算法高维弱势的缺陷,对于工程中复杂的优化函数有较大的使用价值。
关键词:蝙蝠算法;自学习策略;变异选择;寻优精度;多维函数优化
中图分类号:TP301.6????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0301-08
DOI: 10.16182/j.issn1004731x.joss.201702009
Variation Bat Algorithm with Self-learning Capability and Its Property Analysis
Shang Junna1, Liu Chunju1*, Yue Keqiang2, Li Lin1
(1. College of Telecommunication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;6xPag8879环亚手机|首页主页
2. College of Electrical and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
Abstract: Regarding to the evolution characteristics of standard bat algorithm, a bat algorithm with the capability of self-learning and individual variation was proposed. In this proposed algorithm, the best global individual with the self-learning capability could self-optimize within a small range of solutions and lead to other individuals develop deep searching. In addition, the each individual generated a dynamic number variation cluster in proportion its fitness value. According to the rule of greedy selection, the best individual in the variation cluster was selected which protected the excellent individual and avoided the individual degradation. The proposed algorithm made use of the self-learning and individual variation improved the optimization accuracy and convergence speed. The simulation results for the standard test functions show that the improved bat algorithm has significant advantage of high optimization ability and search precision, and can skip from local optimum effectively. The improved bat algorithm has great value to engineering of complex function optimization.
Keywords: bat algorithm; self-learning; variation selection; optimization accuracy; multi-dimensional function optimization
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基于记忆原理的人际关系优化算法
苏佳,黄光球
(西安建筑科技大学管理学院,陕西西安 710055)
摘要:为求解复杂函数优化问题,基于人类记忆原理和人际关系,提出了一种新型函数优化方法,即MP-IRO算法。在该算法中,将个体分为恋人、知己、敌人、小人、陌生人5种对象类型,对应于恋爱、聚集、攻击、排斥、防御等5种行为,并构造相应的演化算子。恋爱算子能优先选择拥有长时记忆的个体,分享其表征特性;聚集算子能使个体摆脱局部最优解的陷阱;攻击算子能使个体之间活跃度增强;排斥算子能让个体远离瞬时记忆试探解方向,扩大搜索范围;防御算子能增加随机性。测试结果表明,本算法对求解复杂函数优化问题具有较高的适应性和收敛速度。
关键词:函数优化;群智能优化计算;记忆原理;人际关系;MP-IRO算法
中图分类号:TP18????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0309-10
DOI: 10.16182/j.issn1004731x.joss.201702010
Memory Principles-based Interpersonal Relationship Optimization
Su Jia, Huang Guangqiu
(Management College, Xi’an University of Architecture & Technology, Xi’an 710055, China)
Abstract: In order to solve the complicated function optimization problems, a new optimization algorithm was constructed based on the memory principles (MP) and interpersonal relationship (IR), namely memory principles-based interpersonal relationship optimization (MP-IRO). There are five object types ininterpersonal relationship system, including lovers, friends, enemies, villains and strangers which successively correspond to loving, gathering, attacking, rejecting, defending instincts and five operators; the loving operator gives preference to individuals which memory type is long memory(LM) and shares CP with other individuals; the gathering operator could make individuals avert local optima; the attacking operator enables an individual’s vitality to increase; the rejecting operator can be far from instantaneous memory to expand the search coverage; the defending operator increases the randomness. Results show that the algorithm has characteristics of strong search capability and high adaptability for the complicated function optimization problems.
Keywords: function optimization; population-based intelligent optimization computation; memory principles; interpersonal relationship; MP-IRO algorithm
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基于动态收益矩阵的成长网络合作演化仿真研究
辛琦1,周晓2
(1.福建江夏学院经济贸易学院,福州 350108;2.福建江夏学院工商管理学院,福州 350108)
摘要:构建了一个基于动态收益矩阵的成长网络合作演化模型,考虑了个体及连边数量不断增加的网络结构演化和收益矩阵受环境影响不断改变的个体策略演化。该模型运用反馈机制使收益矩阵随网络环境发生改变,并结合反馈强度、初始背叛诱惑、节点平均度等参数对反馈机制在网络合作演化中的作用进行分析。数值仿真结果表明,根据文中所构建之模型成长起来的网络具有幂律分布特征;反馈机制的引入,有助于网络合作的演化,并且,反馈强度越大、初始背叛诱惑越大、节点平均度越大时,反馈机制的作用越明显。
关键词:反馈机制;动态收益;网络成长;合作演化
中图分类号:O225; TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0319-07
DOI: 10.16182/j.issn1004731x.joss.201702011
Simulation of Cooperative Evolution of Growing Network Based on Dynamic Payoff Matrices
Xin Qi1, Zhou Xiao2
(1. College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China; 6xPag8879环亚手机|首页主页
2. College of Business Administration, Fujian Jiangxia University, Fuzhou 350108, China)
Abstract: A cooperative evolution model of growing network based on dynamic payoff matrices was built. The model involved network structure evolution caused by the increasing number of individuals and the links between them, and individual strategy evolution according to the changing payoff matrices. In this model, feedback mechanism was used to make payoff matrices vary with the network environment. And considering some parameters such as feedback intensity, the initial value of the temptation for defecting, average node degree, the effect of feedback mechanism on cooperative evolution of growing network was analyzed. Numerical simulation results show that the network grown up according to the model has the characteristic of power-law distribution; Feedback mechanism can effectively raise the rate of cooperation on network; and the lager the feedback intensity, the initial value of the temptation of defect and the average node degree is, the more effective feedback mechanism is.
Keywords: feedback mechanism; dynamic payoff matrices; network growth; cooperative evolution
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基于后验多重稀疏字典的多姿态行人检测
谷灵康,周鸣争,汪军,修宇
(安徽工程大学计算机与信息学院,安徽 芜湖 241000)
摘要:为了有效检测行人,提出一种基于后验多重稀疏字典的多姿态行人检测方法。根据多个不同稀疏度字典对图像稀疏编码,构成分布直方图作为行人图像多重稀疏字典特征;统计全部正样本特征的共性信息,对单个行人样本特征加权,获得表征行人的后验多重稀疏字典特征;根据视角和行人姿态的不同利用聚类方法划分子类,且训练等权重加和方式的多姿态分类器。在多个数据集上的测试表明,所提方法的特征维数低,描述能力优,有效提高了行人检测精度。
关键词:行人检测;稀疏字典;特征提取;后验多重稀疏;多姿态
中图分类号:TP391.4????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0326-06
DOI: 10.16182/j.issn1004731x.joss.201702012
Multi-pose Pedestrian Detection Based on Posterior Multiple Sparse Dictionaries
Gu Lingkang, Zhou Mingzheng,Wang Jun, Xiu Yu
(College of Computer and Information, Anhui Polytechnic University, Wuhu 241000, China)
Abstract: In order to detect pedestrians effectively, a multi-pose pedestrian detection method based on posterior multiple sparse dictionaries was proposed.. Experimental results on different datasets suggest that the proposed posterior feature is more than the classical sparse dictionary and other typical features. Compared with the existing methods, by combining the posterior feature and the multi-pose-view ensemble classifier, the proposed method improves the detection accuracy effectively. Through pre-learning multiple different sparse dictionaries, and sparse coding the image, statistics for each dictionary corresponds to sparse coding histogram as the pedestrian image feature descriptor. The common information of multiple sparse dictionary features of all positive samples was obtained, and the feature of a single pedestrian sample was weighted, and the features of a posteriori multiple sparse dictionary could be obtained. Then pedestrians of different poses and views were divided into subclasses with clustering algorithm. A classifier was trained for each subclass. A multi-pose-view ensemble classifier was trained to combine the output values of different subclass classifiers with an equally weighted sum rule
Keywords: pedestrian detection; sparse dictionaries; feature extraction; posterior multiple sparse; multi-pose
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基于改进B树的多层次仿真系统搜索算法
李宏宏1,2,康凤举1,2
(1. 西北工业大学航海学院,陕西 西安 710072;2. 水下信息处理与控制国家重点实验室,陕西 西安 710072)
摘要:针对多层次分布式仿真系统中仿真成员较多时系统搜索效率低下的问题,研究分析仿真成员的多层级树状结构关系,给出多层次仿真系统常用搜索方法的缺陷。提出利用分色的策略来改进B树搜索算法,将B搜索树的低网络通信和分色查找的高效率结合实现了多仿真成员的快速搜索和网络资源的低消耗。结果表明, 该方法可以实现对多层次仿真系统仿真成员的快速搜索和通信网络资源的低消耗, 保证了多层次分布式仿真系统的实时性和仿真网络的稳定性。
关键词:多层次系统;搜索算法;B树;分布式仿真系统
中图分类号:TP391.9 ??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0332-05
DOI: 10.16182/j.issn1004731x.joss.201702013
Search Algorithm of Multi-level Simulation System Based on Improved B-tree
Li Honghong1,2, Kang Fengju1,2
(1. School of Marine Technology, Northwestern Poleytechnical University, Xi’an 710072, China;6xPag8879环亚手机|首页主页
2. National Key Laboratory of Underwater Information Process and Control, Xi’an 710072, China)
Abstract: As the problem of low efficiency search in many members of multi-level distributed simulation system, research and analysis simulation member of multi-level tree structure, the inferiority of commonly used search methods on multi-level simulation system was given. The separation strategy to improve B-tree search algorithm and B-tree network with low communication and color in search of high efficiency was achieved by combining a low consumption of multiple simulation members fast search and network resources. The results show that this method can achieve quickly search on the multi-level simulation system simulation members and little communication network resources, and ensure the stability and real-time of the multi-level simulation system.
Keywords: multi-level system, search algorithm, B-tree, distributed simulation system
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有滞留时间约束的集束型装备在线调度方法
李林瑛1,卢睿2,李绍华1,景雨1,刁建华1
(1. 大连外国语大学软件学院,辽宁 大连 116044;2. 辽宁警察学院公安信息系,辽宁 大连 116036)
摘要:针对半导体制造中有滞留时间约束的集束型装备,研究了客户紧急订单、返工、新产品试制等临时晶圆到达时的在线调度问题,提出了不改变已有晶圆调度的前提下,利用资源空闲时间区间的两层在线调度方法。外层算法通过改进量子进化算法用以优化临时晶圆加工排序;内层算法在给定晶圆排序的基础上,采用后向逐级递推的策略从资源的空闲时间区间获得可行解,利用逆序最大逐级回溯策略在可行解空间获得晶圆的加工开始时间。通过不同规模测试问题上的仿真实验和算法比较,验证了提出方法的有效性。
关键词:在线调度;量子进化算法;集束型装备;半导体制造;滞留时间约束
中图分类号:TP241.2; TP278????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0337-09
DOI: 10.16182/j.issn1004731x.joss.201702014
Online Scheduling Method of Cluster Tools with Residency Time Constraint
Li Linying1, Lu Rui2, Li Shaohua1, Jing Yu1, Diao Jianhua1
(1. School of Software, Dalian University of Foreign Languages, Dalian 116044, China;
2. Police Information Department, Liaoning Police College, Dalian 116036, China)
Abstract: For cluster tools with residency time constraints in semiconductor manufactory, online scheduling problem was studied when temporary wafers arrived with emergency order, rework and new product development, et al. Utilizing available resource interval, the two-layer online scheduling method was proposed without changing existing schedule. The outer layer algorithm used an improved quantum evolutionary algorithm to optimize processing order of temporary wafers. Based on the results, the inner layer algorithm gained feasible solutions from available space by backward stepwise recursive strategy, and determined start time of wafer in feasible solution space by means of reverted sequence maximum backtrack strategy. Simulation results and comparisons on benchmarks with different scales demonstrate the effectiveness of the presented method.
Keywords: online scheduling; quantum evolutionary algorithm; cluster tools; semiconductor manufactory; residency time constraints
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一种考虑系统复杂性的设备布局仿真评价方法
俞爱林,陈庆新,毛宁
(广东工业大学广东省计算机集成制造系统重点实验室,广东 广州 510090)
摘要:为研究不同设备布局方式下定制型装备制造系统的性能,提出了一种考虑制造系统复杂性的仿真评价方法。根据企业实际,归纳与抽象了三种典型的装备制造系统设备布局方案;考虑系统复杂性,构建了制造系统设备布局方案的评价指标体系,着重阐述了系统结构熵模型及系统运行熵模型的构建方法;在抽象产品、工艺模型的基础上,构建了相应的系统仿真模型;通过仿真实验,获得了评价指标体系的各类参数,进而对布局方案进行评价。
关键词:设备布局;仿真评价;系统复杂性;装备制造
中图分类号:TH181 ??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0346-09
DOI: 10.16182/j.issn1004731x.joss.201702015
Simulation and Evaluation of Facility Layout in Environment with Complexity for Manufacturing System
Yu Ailin, Chen Qingxin, Mao Ning
(Guangdong Provincial Key Lab of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou 510090, China)
Keywords: facility layout; simulation and evaluation; complexity of manufacturing system; manufacturing of equipment
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面向多轮廓的机器人加工路径优化研究
王宪伦,喻洋,崔玉霞
(青岛科技大学机电工程学院,青岛 266061)
摘要:针对多轮廓零件机器人加工的路径优化问题,提出了一种基于改进遗传算法和最小外接三角形法的机器人加工路径规划新方法。采用基于改良圈的遗传算法优化任意选择的走刀路径,得到轮廓加工序列,而最小外接三角形法对该轮廓序列动态寻找各轮廓入刀节点,构建走刀路径,经过反复迭代,得到了一条优化的走刀路径。仿真结果表明,所提算法可有效构建机器人走刀路径,缩短空行程。
关键词:机器人加工;多轮廓;路径优化;改进遗传算法;最小外接三角形法
中图分类号:TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0355-06
DOI: 10.16182/j.issn1004731x.joss.201702016
Research on Robot Processing Path Optimization for Multi-contour
Wang Xianlun, Yu Yang, Cui Yuxia
(College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, China)
Abstract: The problem of robot processing path optimization for multi-contour parts was studied, and a new path planning algorithm based on the improved genetic algorithm and the minimum external triangle method was proposed. The genetic algorithm based on modified circle was applied to optimize the cutting path which selected arbitrarily, and an optimal contour sequence was found. The minimum external triangle method was used to seek the node as the tool entrance on each adjacent contour dynamically, and an optimal cutting path was constructed through several iterations in this way. Simulation results show that the cutting path for robot can be constructed effectively and the non-cutting path can be shortened by using the proposed algorithm.
Keywords: robot processing; multi-contour; path optimization; the improved genetic algorithm; the minimum external triangle method
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集材机可更换三角形履带转向动力学仿真分析
葛晓雯,侯捷建,王立海
(东北林业大学工程技术学院,黑龙江 哈尔滨 150040)
摘要:为设计一种适于我国林区作业条件的高效低耗的多功能集材机械,将可更换三角形履带装置应用于集材机上,在理论分析的基础上,利用SolidworksRecurDyn软件建立三角形履带集材机虚拟样机和路面模型,对预张紧力、转向角度、路面条件、装车工况和集材工况等影响集材机转向动力学性能的因素进行仿真分析。结果表明:履带预张紧力为19.2 kN(车重40%)时更适于转向;转向角度越大车辆转向越容易但同时车辆振动越大;软地面转向时较硬地面稳定性差,更易发生脱轮或断链;装车或集材转向时各项动力学指标均满足要求,集材机在作业条件下转向平稳。
关键词:集材机;可更换三角形履带;多体动力学仿真;转向;预张紧力
中图分类号:S718??????? 文献标识码:A??????? 文章编号:1004-731X (2017) 02-0360-08
DOI: 10.16182/j.issn1004731x.joss.201702017
Steering Dynamics Simulation Analysis of Replaceable Triangular Track of Skidder
Ge Xiaowen, Hou Jiejian, Wang Lihai
(College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China)
Abstract: In order to design a kind of high efficiency and low cost multifunctional skidder suitable for forest conditions of China, the replaceable triangular track was applied to skidder and the virtual prototype of triangular track skidder and road models were built based on the theoretical analysis by Solidworks and RecurDyn Software. Simulation analysis regarding the effects of pre-tension, turning angle, road conditions, loading and skidding on skidder’s turning performance was made. Research results show that the pre-tension of 19.2 kN (40% of the vehicle weight) is much proper for turning. The larger turning angle is, the easier skidder turned, meanwhile the greater the vibration is. The skidder has a worse stability on a soft road than on hard one, and it is more likely to suffer wheel-off and chain scission. When the skidder is loading or skidding, all dynamic indexes meet the requirements and it gets a steady turning under working condition.
Keywords: skidder; replaceable triangular track; multi-body dynamic simulation; turning; pre-tension
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基于帝国竞争算法的主汽温控制系统参数优化研究
刘帅1,刘长良2
(1. 华北电力大学 控制与计算机工程学院,北京 102206;2. 华北电力大学 新能源电力系统国家重点实验室,北京 102206)
摘要:针对火电厂主汽温难以控制的特点,利用帝国竞争算法对主汽温串级控制策略进行了仿真优化研究。以带有限幅和限速执行器的主汽温串级PID控制系统为仿真对象,确定了合适的误差指标函数ITAE;对几种类型的串级PID控制方案进行了对比研究。仿真结果表明帝国竞争算法是一种便捷有效的参数优化方法,PID-PI型串级控制系统动态性能指标较均衡,抗干扰能力更强。
关键词:主汽温系统;串级PID;帝国竞争算法;控制约束
中图分类号:TP301.6????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0368-06
DOI: 10.16182/j.issn1004731x.joss.201702018
Cascade PID Parameter Optimization of Main Steam Temperature Control System Based on Imperialist Competitive Algorithm
Liu Shuai1, Liu Changliang2
(1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)
Abstract: Thermal power plants for the main steam temperature are difficult to control, using Imperialist Competitive Algorithm to accomplish main steam temperature cascade control strategy simulation optimization. The main steam cascade PID control system with limiting and speed actuator as simulation object determined the appropriate error indicator function ITAE criterion. Several types of Cascade PID control scheme were compared. Simulation results show that Imperialist Competitive Algorithm is convenient and effective method of parameter optimization, and PID-PI cascade type system has better balanced dynamic performance, anti-interference ability.
Keywords: the main steam system; cascade PID; Imperialist Competitive Algorithm; control constraints
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基于样本优化的风电机组齿轮箱轴承温度预测
李大中,常城,许炳坤
(华北电力大学自动化系,河北 保定 071003)
摘要:风电机组的状态检测对于提高机组运行水平及降低维护成本意义重大。利用非线性状态估计(NSET)方法建立齿轮箱轴承温度模型并用其进行轴承温度预测;针对观测向量选择缺乏理论依据的问题采用灰色关联度分析法验证变量选择的合理性;针对过程记忆矩阵存在数据冗余的问题采用相似度分析法构造简约过程记忆矩阵缩短建模时间。齿轮箱工作状态异常时模型的预测残差分布特性将发生变化,当残差均值或标准差超出设定阈值则给出预警。验证结果表明:基于样本优化的模型可以准确预测轴承温度并有较好的时效性,可以监测齿轮箱的运行状态。
关键词:风电机组;齿轮箱轴承温度;样本优化;预测
中图分类号:TM315????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0374-07
DOI: 10.16182/j.issn1004731x.joss.201702019
Wind Turbine Gearing Temperature Prediction Based on Sample Optimization
Li Dazhong, Chang Cheng, Xu Bingkun
(Department of Automation, North China Electric Power University, Baoding 071003, China)
Abstract: Condition monitoring of wind turbine can greatly raise the operation of unit and reduce the maintenance cost. Nonlinear state estimation technique (NSET) was used to construct the behavior model of gearbox bearing temperature to complete bearing temperature prediction; grey correlation analysis method was used to verify the rationality of variable selection aiming at the lack of theoretical basis for observation vector choose; similarity analysis method was used to structure simple process memory matrix to shorten the modeling time for the data redundancy of process memory matrix. Prediction residual distribution of model will change when gear box works abnormally and gives warning when the mean or standard deviation of residual error exceeds the threshold. Verification results show that: model based on sample optimization can predict the bearing temperature accurately and has better timeliness, so it can monitor the operation of the gear box.
Keywords: wind turbine; gear box bearing temperature; sample optimization; prediction
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通用化海浪仿真关键技术研究
王顺利1,2,康凤举1,2,徐建华1,2
1. 西北工业大学航海学院,陕西西安 7100722. 水下信息处理与控制国家重点实验室,陕西西安 710072
摘要:为了使海浪仿真通用化,减少研究人员的工作量,提出一种通用化的海浪仿真方法。为了适应深、浅海浪的仿真,改进基于视点的多分辨率网格,给出自适应的深浅海浪网格模型;针对海浪模型的多样性,将海浪高度场数据保存到纹理图中,生成可替换可组合的多海浪模型高度图;为了加速仿真中的相关计算,在仿真程序中嵌入CUDA(Compute Unified Device Architecture)加速程序,实现仿真程序和CUDA程序的同时运行,并以加速基于FFT的海浪模型为例,对加速效果进行了对比。完成了不同海浪模型下的海浪仿真,结果显示提出的方法能适用性多种海浪模型,通用性好,运行效果满足实时仿真的需求。
关键词:通用化;海浪仿真;多海浪模型;CUDA
中图分类号:TP391.9??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0381-06
DOI: 10.16182/j.issn1004731x.joss.201702020
Research on General Ocean Simulation Technology
Wang Shunli1,2, Kang Fengju1,2, Xu Jianhua1,2
(1.School of Marine Technology, Northwestern Ploytechnical University, Xi’an 710072, China6xPag8879环亚手机|首页主页
2.
National Key Laboratory of Underwater Information Process and Control, Xi’an 710072, China)
Abstract:In order to make the ocean wave simulation generalization, a generalization of the wave simulation method was put forward. In order to adapt to the deep and shallow wave simulation, the improvement based on the viewpoint of multi-resolution grid, adaptive depth wave grid model was given. In view of the diversity of wave model, the height map of a replaceable and combined of multiple wave model was generated. To speed up the simulation of the computing, the CUDA (Compute Unified Device Architecture) accelerated program was embedded in the simulation program, in the case of ocean model based on FFT, the acceleration effect was compared. The ocean scenes with different ocean models were given. The rendering results show that the proposed method suits different ocean models and can meet the requirements of real-time simulation.
Keywords:generalize; ocean simulation; multi-ocean model; CUDA
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远程台仿真系统的自适应稳态回馈控制方法
马瑞民,张文晶,张方舟,孙瑞雪,李强
(东北石油大学计算机与信息技术学院,黑龙江 大庆 163318)
摘要:在钻井过程中为了有效保护和正确控制井控设备,同时确保井控安全,需要钻井从业人员进行井控仿真培训。为了给培训人员创造真实的钻井环境并客观反映培训人员的技能水平,设计了井控远程台实物仿真系统。为了在与真实相近的环境下模拟操作井控设备,将自适应稳态回馈控制应用到井控远程台仿真系统中。根据系统特性,结合PID自适应控制,提出自适应井控远程台压力油制备仿真的稳态回馈控制算法。为验证方法的可行性,选取以某油田钻井公司的实际项目为背景进行仿真设计。试验结果表明,此方法能够实现远程控制台的检查与运行等内容的真实操作训练功能。
关键词:井控远程台;压力油制备;实物仿真;自适应稳态回馈
中图分类号:TP391.9??????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0387-07
DOI: 10.16182/j.issn1004731x.joss.201702021
Adaptive Steady State Feedback Control Method of Remote Control Console of Well Control Simulation System
Ma Ruimin, Zhang Wenjing, Zhang Fangzhou, Sun Ruixue, Li Qiang
(College of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China)
Abstract: In order to effectively protect and control right the process of drilling well control equipment and ensure the safety of the well control, it is necessary to do the drilling well control simulation training for employees. The well control remote physical simulationwas designed, which created the real drilling environment for training personnel and objectively reflected the skill levels of training personnel. In order to the simulate operating close to the real environment of well control equipment, the adaptive state feedback control was applied to the remote computer simulation system of well control. According to the system characteristics, combined with PID adaptive control, an adaptive well control remote pressure oil preparation simulation of steady state feedback control algorithm was proposed. In order to verify the feasibility of the method chosen to actual project an oilfield drilling companies as the background simulation design, simulation experiment results show that this method can realize the remote console check and run the content such as the actual operation training function.
Keywords: well control remote console; pressure oil preparation; hardware simulation; adaptive steady state feedback
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基于改进教与学优化算法的永磁同步电机参数辨识
李杰,王艳,纪志成
(江南大学教育部物联网技术应用工程中心,江苏 无锡 214122)
摘要:高精度辨识永磁同步电机参数是进行控制器设计的基础。针对传统永磁同步电机参数辨识方法中存在辨识速度慢、精度低等缺陷,提出了一种改进教与学优化算法对永磁同步电机进行参数辨识。该算法在教学阶段引入辅导教学机制加强教师的教学能力,提高算法收敛速度,在学习阶段,采用科目分步学习提高学员学习效率,并融入反向学习策略进行小概率变异来增加算法跳出局部最优的可能性。通过实验仿真表明,与基本教与学优化算法、粒子群算法相比,所提算法对于同时辨识定子电阻,d、q轴电感和转子磁链具有较好的收敛性和可靠性。
关键词:永磁同步电机;参数辨识;教与学算法;辅导教学;反向学习;粒子群算法
中图分类号:TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0393-09
DOI: 10.16182/j.issn1004731x.joss.201702022
Permanent Magnet Synchronous Motor Parameter Identification Based on Improved Teaching-Learning-Based Optimization
Li Jie, Wang Yan, Ji Zhicheng
(Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China)
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. In order to overcome the shortages of traditional identification methods such as slow speed and low identification accuracy, an improved teaching-learning-based optimization algorithm (ITLBO) was proposed to identify the permanent magnet synchronous motor parameters. In the teaching phrase, tutorial teaching mechanism was introduced to strengthen teacher’s capacity and improved the convergence rate of algorithm, in the learning phrase, the course stepwise learning was used to improve learners’ learning efficiency. Besides, opposition-based-learning was introduced for small probability mutation, which enhanced the possibility out of local optima. The simulation result shows that the proposed algorithm has better convergence and reliability in simultaneous identification of the stator resistance, d-axis and q-axis inductance and the rotor linkage compared with teaching-learning-based optimization and particle swarm optimization.
Keywords: permanent magnet synchronous motor; parameter identification; teaching-learning-based optimization; tutorial teaching; opposition-based-learning; particle swarm optimization
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基于AIS数据的船舶操纵性指数辨识研究
宁方鑫1,熊勇1,2,牟军敏1,2,黄兴东1
(1.武汉理工大学航运学院,湖北 武汉 430063;2.武汉理工大学内河航运技术湖北省重点实验室,湖北 武汉 430063)
摘要:基于船舶自动识别系统(AIS)数据提出一种船舶操纵性指数的辨识模型。通过对船舶AIS数据进行处理和解码,运用三次样条插值法对ROT值进行数据重构。通过时间序列的频谱分析法筛选合适的ROT值航段,通过船载航行数据记录仪(VDR)获得船舶在选定ROT值航段的舵角信息。运用粒子群优化算法(PSO)对处理后的AIS数据进行参数辨识,得到船舶在当前速度下的船舶操纵性指数值。通过与船舶真实操纵性指数值进行Z型仿真试验和旋回仿真试验对比,结果表明,应用粒子群优化算法可以实现基于AIS数据的船舶操纵性指数的辨识。
关键词:自动识别系统(AIS);船舶运动响应模型;三次样条插值法;功率谱;粒子群算法;参数辨识
中图分类号:U661.33?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0402-07
DOI: 10.16182/j.issn1004731x.joss.201702023
Ship Maneuverability index identification based AIS data
Ning Fangxin1, Xiong Yong1,2, Mou Junmin1,2, Huang Xingdong1
(1. School of Navigation, Wuhan university of technology, Wuhan 430063, China;6xPag8879环亚手机|首页主页
2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan university of technology, Wuhan 430063, China)
Abstract: A novel method of ship maneuverability index identification on the basis of Automatic Identification System (AIS) data was proposed. By decoding and processing the raw data of AIS, data of rate of turning (ROT) are re-constructed with application of cubic spline interpolation method. Time series spectrum analysis was introduced to select appropriate ROT data segment. Based on the ROT data segment, rudder angle information was obtained by using ship Voyage Data Recorder (VDR). To identify ship's maneuverability index, particle swarm optimization algorithm (PSO) was applied to obtain ship maneuvering parameters under the current speed. The result was compared with actual ship maneuvering index estimated by zigzag simulation experiment and cycle simulation experiment, which indicates that PSO can be introduced to identify ship maneuverability index.
Keywords: automatic identification system (AIS); ship motion response model; cubic spline interpolation; power spectrum; particle swarm optimization; parameter Identification
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飞机舵机电液加载系统多余力抑制方法研究
刘晓琳,王春婷
(中国民航大学,天津 300300)
摘要:针对飞机舵机电液加载系统存在的多余力干扰不易抑制的问题,提出了结合橡胶-金属缓冲弹簧、飞机舵机位移指令前馈、基于动态RBF神经网络在线辨识的单神经元PID输出负载力反馈的复合控制器结构功能及控制策略利用蚁群聚类算法优化的动态RBF神经网络对系统进行在线辨识,获得Jacobian信息,由单神经元PID控制器完成控制参数的在线自整定。仿真结果表明,该方法可以在实验室条件下对于模拟飞机舵机所受到的力载荷实现快速、准确的加载,能保证系统的稳定性且具有较强的鲁棒性。
关键词:飞机舵机电液加载系统;多余力;单神经元PID控制器;动态RBF神经网络;蚁群聚类算法
中图分类号:TP271+.31????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0409-09
DOI: 10.16182/j.issn1004731x.joss.201702024
Research of Strategy to Restrain Surplus Force of Aircraft Rudder Electro-Hydraulic Loading System
Liu Xiaolin, Wang Chunting
(College of Aeronautical Automation of Civil Aviation University of China, Tianjin 300300, China)
Abstract: For the problem that is caused by surplus torque of aircraft rudder electro-hydraulic loading system is not easy to inhibit, compound controller structure function and control strategy were proposed that combined rubber-metal buffer spring, the displacement of steering gear and speed feed forward of aircraft rudder and the output force feedback use single neuron PID based on dynamic RBF neural network on-line identification. Ant clustering algorithm was used to optimize the dynamic RBF neural network to identify the object online to obtain Jacobian information, then use the single neuron PID controller complete control parameters online self-tuning control. The simulation results show that this method can achieve rapid and accurate load for simulated aircraft rudder power load under laboratory conditions, and can guarantee the stability of the system and has strong robustness.
Keywords: aircraft rudder electro-hydraulic loading system; surplus torque; single neuron PID controller; dynamic RBF neural network; ant clustering algorithm
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飞行模拟器洗出算法优化设计及仿真
王辉,朱道扬,傅孝靖
(中国民航大学航空工程学院,天津 300300)
摘要:飞行模拟器逼真度的关键在于洗出算法的优劣,经典洗出算法的参数调整方便、反馈速度和执行速度迅速而被广泛应用,但在结构设计上仍然存在一定缺陷,导致洗出算法相位延迟误差和虚假暗示过大,造成飞行模拟器动感逼真度的下降。根据前庭感知系统对经典洗出算法的结构进行重新设计,使用补偿理论减小算法的相位延迟和虚假暗示。在MATLAB/SIMULINK中对一组实际飞行数据进行仿真验证,并给出优化后洗出算法的最佳参数值范围。仿真结果表明,优化后的洗出算法在最佳参数值范围内能够提升运动平台的利用率和减小虚假暗示,提高飞行模拟器的动感逼真度。
关键词:飞行模拟器;洗出算法优化;相位误差;虚假暗示;仿真
中图分类号:TP391.9?????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0418-07
DOI: 10.16182/j.issn1004731x.joss.201702025
Optimization Design and Simulation of Washout Algorithm for Flight Simulator
Wang Hui, Zhu Daoyang, Fu Xiaojing
(College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China)
Abstract: The key of the fidelity of flight simulators lies in the merits of the washout algorithm; the classical washout algorithm has been widely applied owing to its convenient parameter adjustment as well as rapid feedback and execution speed. However, the classical washout algorithm still exists some certain defects in its structure design, which will cause exaggerated phase retardation error and false cues thus resulting in the deterioration in dynamic fidelity of flight simulators. According to vestibular perception system, the structure redesign of the classical washout algorithm was carried out, using the compensation theory to reduce its phase retardation and false cues. In the MATLAB/SIMULINK, simulation verification was conducted on a set of actual flight data, and then presented the range of optimal parameter value. Simulation results show that the optimized washout algorithm within the range of optimal parameter value can enhance the utilization rate of motion platform and reduce the false cues, so as to improve the dynamic fidelity of flight simulators.
Keywords: flight simulator; washout algorithm optimization; phase error; false cues; simulation
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双臂空间机器人捕获目标的力/位协调控制
董楸煌1,陈力2,李海芸1,陈志勇2
(1.福建农林大学机电工程学院,福建 福州 350002;2.福州大学机械工程及自动化学院,福建 福州 350108)
摘要:研究双臂空间机器人捕获目标过程的动力学控制和仿真。利用第二类拉格朗日方程建立空间机器人动力学模型,并基于动量定理,计算捕获目标过程机器人漂浮基座和机械臂运动状态受到的碰撞影响效应。针对捕获目标后形成的闭链系统,设计/位形协调控制算法对系统的运动状态和目标的夹持内力进行控制,以保证捕获过程系统的稳定性、可靠性和安全性。基于动力学模型和控制算法进行数值仿真,仿真结果验证了上述控制算法的有效性。
关键词:双臂空间机器人;捕获目标;碰撞;闭链系统;力/位形控制
中图分类号:TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0424-06
DOI: 10.16182/j.issn1004731x.joss.201702026
Force/Position Control for Dual-arm Space Robot Capturing Object
Dong Qiuhuang1, Chen Li2, Li Haiyun1, Chen Zhiyong2
?1. College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China; 6xPag8879环亚手机|首页主页
2. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)
Abstract: The dynamics control and simulation of dual-arm space robot capture object was studied. The dynamics model of space robot was derived by the second Lagrange equation, for the object capture process, the impact influence on space robot base and arm was calculated by momentum theory. For the space robot and object close-chain system after capturing, a force/position coordinate control algorithm was designed to control the system motion and object clamp force; the stability, reliability and safety of capture process would be ensured by the control algorithm. The simulation result based on the dynamics model and control algorithm was carried out. The result indicates the validity of above analysis.
Keywords: dual-arm space robot; capture object; impact; close-chain system; force/position control
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超临界机组燃料汽压建模与控制研究
谷俊杰,张岩,陈见永,王鹏,于文圣
(华北电力大学 能源动力与机械工程学院,河北 保定 071003)
摘要:主蒸汽压力是表征超临界机组机炉能量供求关系的重要参数,其主要影响因素为燃料量。目前大部分火电厂燃料煤种杂、热值波动大,造成主蒸汽压力波动频繁,严重影响机组运行安全。在燃料量的控制系统中设计了燃料汽压闭环自抗扰反馈控制回路,主要是借助扩张状态观测器估计出燃煤热值自发扰动,并在动态过程中将其实时补偿,提高入炉煤量的准确性,防止因燃煤热值波动造成主蒸汽压力的频繁波动。利用某660 MW超临界机组设计数据进行建模、计算与仿真,结果表明:与传统PID控制相比,自抗扰控制的抗干扰能力更强,对主蒸汽压力有更好的控制品质。
关键词:主蒸汽压力;热值波动;自抗扰控制;扩张状态观测器
中图分类号:TK229.2????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0430-07
DOI: 10.16182/j.issn1004731x.joss.201702027
Research on Modeling and Control for Fuel-Steam Pressure of Super Critical Power Unit
Gu Junjie, Zhang Yan, Chen Jianyong, Wang Peng, Yu Wensheng
(School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)
Abstract: The main steam pressure is an important parameter which characterizes the energy supply and demand of supercritical boiler and steam turbine, which is affected largely by the mount of fuel. At present, most fuel coal of thermal power plant is complex, calorific value fluctuates, resulting in the frequent fluctuation of the main steam pressure, seriously affecting the safe operation of the unit. A fuel — main steam pressure ADRC closed loop feedback control loop was designed in the fuel control system, the spontaneous disturbance of coal-fired thermal value was estimated by ESO, which was then real time compensated in the dynamic process, the accuracy of the amount of coal into the furnace was improved, which kept the main steam pressure from fluctuating affected by coal-fired calorific value fluctuations. The design data of a 660 MW ultra—supercritical unit was used to model, compute and simulate, and the results of simulation show that, compared with traditional PID control, ADRC has stronger anti—interference ability and better control quality for main steam pressure.
Keywords: main steam pressure; calorific value fluctuation; ADRC; ESO
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300 MW褐煤富氧燃烧锅炉制粉系统仿真模型的研究
高建强,孙少东
(华北电力大学能源动力与机械工程学院,河北 保定 071003)
关键词:富氧;锅炉;褐煤;制粉系统;仿真;动态特性
中图分类号:TP391.9 ??????文献标识码:A?????? 文章编号:1004-731X (2017) 02-0437-08
DOI: 10.16182/j.issn1004731x.joss.201702028
Study on Pulverizing System Simulation Model of 300MW Lignite Oxygen-enriched Combustion Boiler
Gao Jianqiang, Sun Shaodong
(School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)
Abstract: The simulation model of the pulverizing system of a 300 MW lignite oxygen-enriched combustion boiler was developed. And the dynamic and static simulation experiments were completed, the experiments included lignite surface moisture content variation, disturbance of feeder norm speed, flue gas inlet temperature and flow rate etc. The results show that, the model is able to correctly simulate the dynamic process of the system. Moisture reduction has a larger impact on the pulverizing system operating parameters. The mill outlet temperature gets a significant rise, especially when it is less than 30%. When the feeder norm speed or flow rate of inlet flue gas changes, the mill outlet parameters change obviously, especially the moisture of pulverized coal. Thus, the ratio of flue gas flow and coal should be controlled strictly by using re-circulation flue gas to dry high moisture lignite.
Keywords:O2/CO2; boiler; lignite; pulverizing system; simulation; dynamic simulation characteristic
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基于隐式PIGPC的火电厂主汽温系统控制
田中大,李树江,王艳红
(沈阳工业大学信息科学与工程学院,沈阳 110870)
摘要:针对火电厂主汽温控制系统具有的大惯性、大时滞等特性,提出一种基于隐式PIGPC的控制策略。在隐式GPC(generalized predictive control)的基础上进行改进,提出具有PI结构的隐式GPC算法(隐式PIGPC)。隐式PIGPC结合了PI控制与隐式GPC的优点,即把PI的反馈结构与GPC的预测功能结合起来,通过采用新的目标函数,获得具有PI结构的预测控制算法,可以改善控制器性能。同时对算法的稳定性进行了分析。仿真研究结果表明提出的方法在响应时间、超调、抗干扰等方面有着很好的控制效果。
关键词:火电厂;主汽温系统;广义预测控制;PI控制;隐式PIGPC
中图分类号:TP273????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0445-08
DOI: 10.16182/j.issn1004731x.joss.201702029
Thermal Power Plants Main Steam Temperature System Control Based on Implicit PIGPC
Tian Zhongda, Li Shujiang, Wang Yanhong
(School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China)
Abstract: Aiming at the large inertial time-delay characteristic of main steam temperature control system on the thermal power plants, a control method based on Implicit PI-based generalized predictive controller (GPC) was proposed. The implicit PIGPC algorithm with PI structure was proposed based on implicit GPC, implicit PI-based GPC combined the advantages of PI control and implicit GPC, the feedback structure of PI and prediction function of GPC was combined. The predictive control algorithm with PI structure was obtained through a new objective function, the performance of controller was improved. At the same time, the stability of the compensation algorithm was analyzed. Simulation results show that the proposed method has a good control effect in the response time, overshoot, anti-interference and other indicators.
Keywords: thermal power plants; main steam temperature system; generalized predictive control; PI control; implicit PIGPC
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消防安全教育虚拟火灾逃生体验舱系统的设计
杜宝江1,查亮1,林灵2
(1. 上海理工大学机械工程学院,上海 200093;2. 公安部上海消防研究所,上海 200032)
摘要:介绍消防安全教育仿真体验舱的结构,提出一种面向消防安全教育的虚拟火灾逃生系统设计与实现方法,具体讨论了虚拟火灾场景的实现与优化、双虚拟互动平台的契合方法、模型的简化及虚拟场景与PLC控制硬件设备实时通信的方法。实现了面向消防安全教育的虚拟火灾逃生技能训练系统,并应用于消防安全教学体验训练室。应用效果表明:在该虚拟火灾场景中进行逃生模拟,对于提高体验者火灾现场的逃生技能,降低临阵慌乱状况有较为显着的作用。
关键词:虚拟现实;火灾逃生;虚拟仿真;消防安全
中图分类号:TP391.9????? 文献标识码:A?????? 文章编号:1004-731X (2017) 02-0453-09
DOI: 10.16182/j.issn1004731x.joss.201702030
Key Technology of Fully Immersive Virtual Experience Cabin
Du Baojiang1, Zha Liang2, Lin Ling2
1. University of Shanghai for Science and Technology, Shanghai 200093, China; 6xPag8879环亚手机|首页主页
2. Shanghai Fire Research Institute of Public Security Ministry, Shanghai 200032, China)
Abstract: The structure of simulated experience cabin for fire safety education was introduced and the design and implementation methods of a virtual fire escape system for fire safety education were proposed, and specifically the specific implementation and optimization of virtual fire scenario, the conjunction method of double virtual interactive platforms and the simplification of?model and the method of communication between the virtual scenes and the PLC control hardware devices were discusses. Fire safety education oriented virtual fire escape skills training system was achieved, which was applied in the teaching and experience room for fire safety training. Application results show that: the simulation carried out in the virtual fire escape scene has played a prominent role in improving the escape skills for the experiencing persons in the fire scene and in the reduction of their chicken panic degree.
Keywords: Virtual reality; Fire escape; Virtual simulation; Fire safety
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