A Self-adaptive Shuffled Frog Leaping Algorithm for Multivariable PID Controller's Optimal Tuning

被引：3

作者：

Xiao, Yingying ^{[1
,2
]}

Li, Bo Hu ^{[1
,2
,3
]}

Lin, Tingyu ^{[1
,2
]}

Hou, Baocun ^{[1
,2
,3
]}

Shi, Guoqiang ^{[1
,2
]}

Li, Yan ^{[4
]}

机构：

[1] Beijing Simulat Ctr, Beijing Complex Prod Adv Mfg Engn Res Ctr, Beijing 100854, Peoples R China

[2] Beijing Inst Elect Syst Engn, State Key Lab Intelligent Mfg Syst Technol, Beijing 100854, Peoples R China

[3] Beijing Simulat Ctr, Sci & Technol Space Syst Simulat Lab, Beijing 100854, Peoples R China

[4] Beijing Simulat Ctr, Beijing 100854, Peoples R China

来源：

THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT I | 2016年 / 643卷

关键词：

Multi-input multi-output (MIMO) system; Optimal tuning; Proportional-integral-derivative (PID) controller; Shuffled frog leaping algorithm (SFL); Parameter adaptive adjustment; OPTIMIZATION; DESIGN;

D O I：

10.1007/978-981-10-2663-8_1

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To insure the multi-input multi-output (MIMO) system has good system response and anti-jamming capability under no decoupling, this paper proposed a self-adaptive shuffled frog leaping algorithm to solve the multivariable PID controller's optimal tuning problem. First, the mathematical description of optimal tuning problem of multivariable PID controller is given. Second, a modified SFL with a parameter adaptive adjustment strategy in the basis of convergence analysis is proposed to enhance SFL's global searching ability and to improve its searching efficiency. Finally, a classical simulation example proposed by Wood and Berry is used to compare the performance of our modified SFL with SFL proposed by Thai and wPSO proposed by Shi, and the optimal results of PI/PID controller demonstrate the effectiveness of our algorithm.

引用

页码：3 / 16

页数：14

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