The optimizing of fuzzy control rule based on particle swarm optimization algorithms

被引：0
|
作者：
Wei, Sun [1 ]
Liu, Mingming [1 ]
Song, Yongbao [1 ]
机构：
[1] CUMT, Sch Informat & Elect Engn, Xuzhou, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING | 2009年
关键词：
particle swarm optimization (PSO) algorithm; fuzzy control; optimizing rule;
D O I：
10.1109/WGEC.2009.186
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The selection of fuzzy control rule is one of the keys In fuzzy controller's design. The article introduces particle swarm optimization (PSO) algorithms optimizing fuzzy control rule in details, and applies the optimized rule to design fuzzy controller. The result of simulation shows that applying PSO to optimize fuzzy control rule is feasible and effective. It enlarges the application scope of PSO algorithms and provides a new way to design fuzzy controller.
引用
收藏
页码：645 / 648
页数：4
相关论文
共 50 条
  • [41] Acquisition of pattern classification rule based on particle swarm optimization
    Gao, Liang
    Gao, Haibing
    Zhou, Chi
    Yu, Daoyuan
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2004, 32 (11): : 24 - 26
  • [42] Rule data mining model based on fuzzy C-Means of genetic and particle swarm optimization
    Langfang Teachers College, Langfang
    Hebei, China
    Intl. J. Earth Sci. Eng., 1 (484-490):
  • [43] Trajectory Tracking Control of Manipulator Based on Particle Swarm Optimization Fuzzy Neural Network
    Gang, Mingyi
    Xia, Xingguo
    Pan, Xiaobo
    Ning, Pinghua
    2021 3RD INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS (SPIES 2021), 2021, : 23 - 26
  • [44] Research on ESP Control Strategy Based on Particle Swarm and Fuzzy Logic Optimization Method
    Wang, Peng
    Ge, Yuan
    Gao, Jiabing
    Yu, Nuo
    Li, Cheng
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 5402 - 5407
  • [45] Parameters optimization of fuzzy controller based on improved particle swarm optimization
    Wang, Dongyun
    Wang, Guan
    2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2008, : 917 - 921
  • [46] Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms: Preliminary Results
    Valdez, Fevrier
    Melin, Patricia
    Castillo, Oscar
    MICAI 2009: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2009, 5845 : 444 - 453
  • [47] Adaptive particle swarm optimization algorithms
    Ai, The Jin
    Kachitvichyanukul, Voratas
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT LOGISTICS SYSTEMS, 2008, : 460 - 469
  • [48] Improved particle swarm optimization algorithms
    Liao, Wudai
    Wang, Junyan
    Wang, Xingfeng
    Wang, Jiangfeng
    2011 International Conference on Advanced Mechatronic Systems, ICAMechS 2011 - Final Program, 2011, : 77 - 80
  • [49] Design of reactive power optimization control for electromechanical system based on fuzzy particle swarm optimization algorithm
    Zou, Liren
    MICROPROCESSORS AND MICROSYSTEMS, 2021, 82
  • [50] Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique
    Cheng, Po-Chen
    Peng, Bo-Rei
    Liu, Yi-Hua
    Cheng, Yu-Shan
    Huang, Jia-Wei
    ENERGIES, 2015, 8 (06) : 5338 - 5360
12345