CAS algorithm-based optimum design of PID controller in AVR system

被引:57
作者
Zhu, Hui [1 ]
Li, Lixiang
Zhao, Ying
Guo, Yu
Yang, Yixian
机构
[1] Beijing Univ Posts & Telecommun, Informat Secur Ctr, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
PARTICLE SWARM OPTIMIZATION; AUTOMATIC VOLTAGE REGULATOR; CHAOTIC ANT SWARM; SYNCHRONIZATION; BEHAVIOR; FUTURE; MODEL;
D O I
10.1016/j.chaos.2009.02.006
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:792 / 800
页数:9
相关论文
共 25 条
[11]  
Goldberg D. E., 1989, Genetic algorithms in machine learning, search and optimization
[12]   Optimal PID control design for synchronization of delayed discrete chaotic systems [J].
Hung, Meei-Ling ;
Lin, Jui-Sheng ;
Yan, Jun-Juh ;
Liao, Teh-Lu .
CHAOS SOLITONS & FRACTALS, 2008, 35 (04) :781-785
[13]   A real coded genetic algorithm for matrix inequality design approach of robust PID controller with two degrees of freedom [J].
Kawabe, T ;
Tagami, T .
PROCEEDINGS OF THE 1997 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 1997, :119-124
[14]   Designing PI/PID controllers for a motion control system based on genetic algorithms [J].
Krohling, RA ;
Jaschek, H ;
Rey, JP .
PROCEEDINGS OF THE 1997 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 1997, :125-130
[15]  
Kundur P., 1994, POWER SYSTEM STABILI
[16]   An optimization method inspired by "chaotic" ant behavior [J].
Li, Lixiang ;
Yang, Yixian ;
Peng, Haipeng ;
Wang, Xiangdong .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2006, 16 (08) :2351-2364
[17]   Parameters identification of chaotic systems via chaotic ant swarm [J].
Li, LX ;
Yang, YX ;
Peng, HP ;
Wang, XD .
CHAOS SOLITONS & FRACTALS, 2006, 28 (05) :1204-1211
[18]  
Li Y, 2006, IEEE CONTR SYST MAG, V26, P32
[19]   Model predictive control: past, present and future [J].
Morari, M ;
Lee, JH .
COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 (4-5) :667-682
[20]   A CNN MODEL OF OSCILLATION AND CHAOS IN ANT COLONIES - A CASE-STUDY [J].
NEMES, L ;
ROSKA, T .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 1995, 42 (10) :741-745