Research on genetic algorithm optimization based on PID control with two degrees of freedom controller for chaotic system

被引：3
|
作者：
Niu Pei-Feng [1 ]
Zhang Jun [1 ]
Guan Xin-Ping [1 ]
机构：
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
来源：
ACTA PHYSICA SINICA | 2007年 / 56卷 / 07期
关键词：
chaotic system; genetic algorithm; proportional-integral-derivative control;
D O I：
10.7498/aps.56.3759
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The proportional-integral-derivative ( PID ) control algorithm with two degrees of freedom are easy and useful. But when they are applied to nonlinear systems, the parameters are difficult to tune. Using improved genetic algorithm to optimize parameters of PID controller with two degrees of freedom, the convergence rate of parameter optimization is rapid and accurate. When applied to Chen's chaotic system and synchronous motor chaotic system, good results are obtained in simulation experiments.
引用
收藏
页码：3759 / 3765
页数：7
相关论文
共 20 条
  • [1] CAI YL, 1993, J NONLIN DYN, V1, P45
  • [2] GUAN XP, 2002, CHAOS CONTROL ITS AP, P19
  • [3] HAN BH, 2001, ELEC OPT CONTR, V4, P54
  • [4] JING GP, 2002, IEEE T CIRCUITS SYST, V49, P1820
  • [5] Li HC, 2005, CHINESE PHYS, V14, P2181, DOI 10.1088/1009-1963/14/11/007
  • [6] Liu H, 2006, CHINESE PHYS, V15, P1196, DOI 10.1088/1009-1963/15/6/012
  • [7] LIU JH, 2003, J GRADUATE SCHOOL CH, V20, P123
  • [8] Inverse-system control of chaos using fuzzy-neural network
    Ren, HP
    Liu, D
    [J]. ACTA PHYSICA SINICA, 2002, 51 (05) : 982 - 987
  • [9] Genetic algorithm optimization based proportional-integral-derivative controller for unified chaotic system
    Wang, DF
    [J]. ACTA PHYSICA SINICA, 2005, 54 (04) : 1495 - 1499
  • [10] WANG Q, 2001, CONTROL DECISION, V16, P195
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