PID-type fuzzy logic controller tuning based on particle swarm optimization

被引：102
作者：
Bouallegue, S. [1 ]
Haggege, J. [1 ]
Ayadi, M. [1 ]
Benrejeb, M. [1 ]
机构：
[1] Natl Engn Sch Tunis ENIT, Res Unit LARA Automat, Tunis 1002, Tunisia
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2012年 / 25卷 / 03期
关键词：
PID-type FLC; Systematic scaling factors tuning; Particle swarm optimization; Genetic algorithms; Real-time experimentation; CONTROL-SYSTEMS;
D O I：
10.1016/j.engappai.2011.09.018
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new PID-type fuzzy logic controller (FLC) tuning strategy is proposed using a particle swarm optimization (PSO) approach. In order to improve further the performance and robustness properties of the proposed PID-fuzzy approach, two self-tuning mechanisms are introduced. The scaling factors tuning problem of these PID-type FLC structures is formulated and systematically resolved, using a proposed constrained PSO algorithm. The case of an electrical DC drive benchmark is investigated, within a developed real-time framework, to illustrate the efficiency and superiority of the proposed PSO-based fuzzy control approaches. Simulation and experimental results show the advantages of the designed PSO-tuned PID-type FLC structures in terms of efficiency and robustness. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：484 / 493
页数：10
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