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An Optimal Trajectory Planning Method for Stabilization of Coupled Space Robotic System after Capturing

Procedia Engineering 2012年 29卷 3117-3123页

作者： Hou-de Liu Ye Shi Bin Liang Wen-fu Xu Xue-qian Wang Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China The Institute of Space Intelligent System Harbin Institute of Technology Harbin 150001 China

Autonomous target capturing of space robot is a key technology for on orbit servicing. After capturing, the mass properties and the total momentum of the coupled system will change large. This will result in the system unstable if no effective measures are used. In this paper, an optimal trajectory planning method is proposed to stabilize the coupled system and minimize the attitude deflection of the base. Firstly, the system kinematics equation is formed of joint and flywheel variables, which are parameterized by polynomial functions. Then, the trajectory planning is transformed to a non-linear optimization problem. Finally, we solve the parameters using the particle swarm optimization (pso) algorithm, and the motion trajectories are determined. Simulation results show that this method is effective.

关键词： Spacecraft capture Coupled system pso algorithm Optimal trajectory planning

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pso algorithm for Amending the "Minus Beam" Pointing Error After Phase Defocusing

PSO Algorithm for Amending the "Minus Beam" Pointing Error A...

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The 8th International Symposium on Antennas,Propagation and EM Theory（ISAPE2008）

作者： Jin Li 1,Ying Ding 1,Rong Hu 2,Lianguo Song 1 Communication Repair shop,Unit 71375,Yuanxiao Street,Weifang,261041,China 1 Department of Satellite Communication ICE,PLAUST,Nanjing 210007,China

The "minus beam" steering of the phased arrays deviates from the given direction because of the quantization phase in the digital phased *** paper studied the theory of wide-beam and "minus beam" and investigated the model of the particle swarm optimization method on the arrays' beam steering,and modified the range of the position and speed factor by the principle of random phase *** simulating results show the effectiveness and correctness of the method.

关键词： pso algorithm phased array phase defocusing minus beam digital phase shifter quantization error

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DESIGN OF pso FUZZY NEURAL NETWORK CONTROL FOR BALL AND PLATE SYSTEM

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2011年第12期7卷 7091-7103页

作者： Dong, Xiucheng Zhao, Yunyuan Xu, Yunyun Zhang, Zhang Shi, Peng Xihua Univ Prov Key Lab Signal & Informat Proc Chengdu 610039 Peoples R China Univ Glamorgan Dept Comp & Math Sci Pontypridd CF37 1DL M Glam Wales Victoria Univ Sch Engn & Math Melbourne Vic 8001 Australia

The ball and plate system is a typical multi-variable plant, which is the extension of the traditional ball and beam problems. Particle swarm optimization algorithm fuzzy neural network control (pso-FNNC) scheme is introduced for the ball and plate system. The fuzzy neural network (FNNC) is optimized by the offline particle swarm optimization (pso) of global searching ability, and the online radius basis function (RBF) algorithm ability of local searching. Then, the optimized fuzzy RBF neural network (FRBF) tuned PID controller. The simulation results demonstrate the potential of the proposed technique, especially tracking speed, tracking accuracy and robustness, is improved obviously, which embodies the nice characters of the pso-FNNC scheme.

关键词： Ball and plate Fuzzy neural network pso algorithm PID

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A pso optimization algorithms Based on the Priori probability

A PSO optimization algorithms Based on the Priori probabilit...

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World Automation Congress

作者： Wei Zhao Xingsheng Cai College of Information Technology JiLin Agriculture University JiLin Changchun

ISBN: (纸本)9781467344975

pso algorithm is easy to operate and to realize, and it has got many scholars' attention once proposed. In recent years there has appeared many improved pso algorithm, but it cann't get the global optimal answer in probability 1. Thinking over the problem using probability theory, this paper can achieve the optimal answer as far as possible big Priori probability, and experiments show that the improved pso algorithm has avoided local minima successfully and got higher search rates.

关键词： pso algorithm Priori probability Optimization

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An Improved Two Particles pso algorithm

An Improved Two Particles PSO Algorithm

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7th World Congress on Intelligent Control and Automation

作者： Li, Ming Yang, Cheng Yang, Cheng-wu Southwest Forestry Coll Coll Commun Machinery & Civil Engn Kunming 650224 Peoples R China Nanjing Univ Sci & Technol Coll Power Engn Nanjing 210094 Peoples R China

ISBN: (纸本)9781424421138

In order to reduce the size and improve the convergence of pso (Particle Swarm Optimization) algorithm, an improved pso algorithm, called Tpso (Two Particles pso) algorithm, is presented in this paper. The swarm is only composed of two particles in Tpso algorithm. The algorithm is guaranteed to converge to the global optimization solution with probability one. Its global search ability is enhanced through re-initialize the particles at every moment. Executing several stochastic searches continuously around the best position of the swarm can enhance its local search ability. Simulation results show that Tpso algorithm can converge to the global optimization solution of three standard nonlinear test functions rapidly.

关键词： pso algorithm global convergence two particles

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Optimization of Spiking Neural Networks with Dynamic Synapses for Spike Sequence Generation using pso

Optimization of Spiking Neural Networks with Dynamic Synapse...

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International Joint Conference on Neural Networks (IJCNN)

作者： Mohemmed, Ammar Matsuda, Satoshi Schliebs, Stefan Dhoble, Kshitij Kasabov, Nikola Auckland Univ Technol Knowledge Engn & Discovery Res Inst Auckland New Zealand Nihon Univ Coll Ind Technol Dept Math Informat Engn Tokyo 102 Japan

ISBN: (纸本)9781424496365

We present a method that is based on Particle Swarm Optimization (pso) for training a Spiking Neural Network (SNN) with dynamic synapses to generate precise time spike sequences. The similarity between the desired spike sequence and the actual output sequence is measured by a simple leaky integrate and fire spiking neuron. This measurement is used as a fitness function for pso algorithm to tune the dynamic synapses until a desired spike output sequence is obtained when certain input spike sequence is presented. Simulations are made to illustrate the performance of the proposed method.

关键词： Atmospheric measurements Biological information theory Biological system modeling Computational modeling Neurons pso algorithm Particle measurements dynamic synapses fire spiking neuron fitness function neural nets particle swarm optimisation particle swarm optimization spike sequence generation spiking neural network time spike sequence

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Application of Improved Fuzzy Immune PID Controller to Bending Control System

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Journal of Iron and Steel Research International 2011年第3期18卷 28-33页

作者： REN Xin-yi DU Feng-shan HUANG Hua-gui ZHANG Shang-bin Institute of Mechanical Engineering Yanshan UniversityQinhuangdao 066004HebeiChina

Based on the hydraulic bending control system,the electrohydraulic servo pressure control simulation model is *** into account of the inadequacy of P-type immune feedback controller,an improved fuzzy immune PID controller is put *** on immune feedback principle of biological immune system,the P-type immune feedback controller is connected with conventional PID controller in series and then in parallel with design fuzzy immune PID *** controller parameters can be adjusted on line by the rules of immune feedback controller and fuzzy *** order to gain the optimal parameters of the controller,the parameters of the controller are off-line optimized by the best multiple optimal model pso *** simulation results indicate that the method has characteristics of small overshoot,short adjusting time and strong anti-interference ability and *** quality of the strip shape can be further improved.

关键词： electrohydraulic bending system immune feedback control fuzzy control pso algorithm strip shape

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Analysis of blood flow through a viscoelastic artery using the Cosserat continuum with the large-amplitude oscillatory shear deformation model

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JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS 2011年第7期4卷 1123-1131页

作者： Sedaghatizadeh, N. Atefi, G. Fardad, A. A. Barari, A. Soleimani, Soheil Khani, S. Aalborg Univ Dept Civil Engn DK-9000 Aalborg Denmark Iran Univ Sci & Technol Dept Mech Engn Tehran Iran Babol Univ Technol Dept Mech Engn Babol Sar Iran Univ Waterloo Fac Mech Engn Waterloo ON N2L 3G1 Canada

In this investigation, semiempirical and numerical studies of blood flow in a viscoelastic artery were performed using the Cosserat continuum model. The large-amplitude oscillatory shear deformation model was used to quantify the nonlinear viscoelastic response of blood flow. The finite difference method was used to solve the governing equations, and the particle swarm optimization algorithm was utilized to identify the non-Newtonian coefficients (k(nu) and gamma(nu)). The numerical results agreed well with previous experimental results. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Blood flow Artery Cosserat continuum Viscoelastic response Non-Newtonian pso algorithm

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A novel localization and orientation method for an objective embedded with a rectangle magnet

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High Technology Letters 2011年第1期17卷 39-45页

作者：阳万安 Hu Chao Max Q. - H. Meng Song Shuang Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 P. R.China Shenzhen Institute of Advanced Integration Technology Chinese Academy of Sciences/The Chinese University of Hong Kong Shenzhen Institute of Advanced Technology CAS Shenzhen 518067 P. R. China Department of Electronic Engineering the Chinese University of Hong Kong Shatin Hong Kong China Graduate University of the Chinese Academy of Sciences Beijing P. R. China Department of Computer and Information Science Yi Bin University Yibin 644000 P. R. China

To wirelessly obtain the accurate location and orientation of an objective and exert an appropriate guidance for the objective, a feasible approach is to enclose a small rectangular permanent mag- net in the objective. The magnetic field, produced by the rectangular magnet can be detected by magnetic sensors outside the objective. With these sensor data, the 3D localization and 3D orienta- tion parameters can be computed based on the mathematic model of the rectangular magnet magnetic field. In this 6D localization and orientation system, we first obtain 5D parameters of the objective by dipole model, then based on these parameters we can obtain 6D parameters by the model of rectangular magnet magnetic field using the particle swarm optimization （pso） algorithm. Simulation experiments show that the proposed approach achieves ~ood performance.

关键词： index terms -dipole 6D localization and orientation rectangular magnet pso algorithm

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Vibration-Based Crack Identification of Generally Supported Beam Structures

Vibration-Based Crack Identification of Generally Supported ...

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International Conference on Structures and Building Materials

作者： Zhang, Yuxiang Xu, Fuhou Wu, Cuiqin Xian Res Inst Hitech Off 203 Xian 710025 Peoples R China

ISBN: (纸本)9780878492060

An effective crack identification method has been developed based on the dynamic behavior of a cracked beam. The nature frequencies of a generally supported beam with crack are calculated by Rayleigh-Ritz method. The crack is then identified from the changes of the nature frequencies caused by the appearance of crack. A hybrid pso (Particle Swarm Optimization) algorithm is employed as a global search technique to back-calculate the damage. Numerical experiments are carried out on beams with different crack damage. The results demonstrate that the proposed method is able to effectively and reliably locate and quantify the crack in the beam with elastically restraint against translation and rotation.

关键词： crack identification beam structures vibration analysis Rayleigh-Ritz pso algorithm

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