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

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• 作者：S. Bouall&egrave ; gue ^{soufiene.bouallegue@enit.rnu.tn} ; J. Hagg&egrave ; ge ^{joseph.haggege@enit.rnu.tn} ; M. Ayadi ; ^{mounir.ayadi@enit.rnu.tn} ; M. Benrejeb ^{mohamed.benrejeb@enit.rnu.tn}
• 关键词：PID-type FLC ; Systematic scaling factors tuning ; Particle swarm optimization ; Genetic algorithms ; Real-time experimentation
• 刊名：Engineering Applications of Artificial Intelligence
• 出版年：2012
• 出版时间：April, 2012
• 年：2012
• 卷：25
• 期：3
• 页码：484-493
• 全文大小：1127 K

文摘

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.