Optimal and stable fuzzy controllers for nonlinear systems based on an improved genetic algorithm

被引：36
|
作者：
Leung, FHF [1 ]
Lam, HK [1 ]
Ling, SH [1 ]
Tam, PKS [1 ]
机构：
[1] Hong Kong Polytech Univ, Ctr Multimedia Signal Proc, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2004年 / 51卷 / 01期
关键词：
fuzzy control; nonlinear systems; optimality and stability;
D O I：
10.1109/TIE.2003.821898
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the optimization and stabilization problems of nonlinear systems subject to parameter uncertainties. The methodology is based on a fuzzy logic approach and an improved genetic algorithm (GA). The TSK fuzzy plant model is employed to describe the dynamics of the uncertain nonlinear plant. A fuzzy controller is then obtained to close the feedback loop. The stability conditions are derived. The feedback gains of the fuzzy controller and the solution for meeting the stability conditions are determined using the improved GA. In order to obtain the optimal fuzzy controller, the membership functions are further tuned by minimizing a defined fitness function using the improved GA. An application example on stabilizing a two-link robot. arm will be given.
引用
收藏
页码：172 / 182
页数：11
相关论文
共 50 条
  • [31] Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm
    Mahmoodabadi, M. J.
    Bagheri, A.
    Nariman-Zadeh, N.
    Jamali, A.
    Maafi, R. Abedzadeh
    JOURNAL OF APPLIED MATHEMATICS, 2012,
  • [32] Universal fuzzy controllers for a class of nonlinear systems
    Cao, SG
    Rees, NW
    Feng, G
    FUZZY SETS AND SYSTEMS, 2001, 122 (01) : 117 - 123
  • [33] Fuzzy controllers design for nonlinear interconnected systems
    Hsiao, FH
    Hwang, JD
    Chen, ZW
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 2788 - 2793
  • [34] Evolving optimal fuzzy logic controllers by genetic algorithms
    Saini, JS
    Gopal, M
    Mittal, AP
    IETE JOURNAL OF RESEARCH, 2004, 50 (03) : 179 - 190
  • [35] Optimal design of condenser based on improved genetic algorithm
    Liu, Cheng-Yang
    Yan, Chang-Qi
    Wang, Jian-Jun
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2012, 46 (04): : 457 - 462
  • [36] An improved genetic algorithm for optimal reconfiguration of radial distribution systems
    Prasad, K
    Sahoo, NC
    Ranjan, R
    Chaturvedi, A
    PROCEEDINGS OF THE 23RD IASTED INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION, AND CONTROL, 2004, : 132 - 136
  • [37] Design of stable and quadratic optimal linear state feedback controllers for TS-fuzzy-model-based control systems
    Ho, Wen-Hsien
    Hsu, Ming-Ren
    Chou, Jyh-Homg
    2006 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1- 5, 2006, : 64 - +
  • [38] Neural-network-based design of optimal controllers for nonlinear systems
    Kulkarni, NV
    Phan, MQ
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2004, 27 (05) : 745 - 751
  • [39] Genetic algorithm based design of fuzzy motion controllers for the Brachiation Mobile Robot
    Vlad, OP
    Fukuda, T
    SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 2003, : 913 - 918
  • [40] Design and stability analysis of fuzzy model-based nonlinear controller for nonlinear systems using genetic algorithm
    Lam, HK
    Leung, FH
    Tam, PKS
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2003, 33 (02): : 250 - 257
12345