文章基本信息

标题：Robustness Study of Fractional Order PID Controller Optimized by Particle Swarm Optimization in AVR System
其他标题：Robustness Study of Fractional Order PID Controller Optimized by Particle Swarm Optimization in AVR System
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作者：N. Ramesh Raju ; P. Linga Reddy
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2016
卷号：6
期号：5
页码：2033-2040
DOI：10.11591/ijece.v6i5.pp2033-2040
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：In this paper a novel design method for determining fractional order PID (PIλDµ) controller parameters of an AVR system using particle swarm optimization algorithm is presented. This paper presents how to employ the particle swarm optimization to seek efficiently the optimal parameters of PIλDµ controller. The robustness study is made for this controller against parameter variation of AVR system. This work has been simulated in MATLAB environment with FOMCON (Fractional Order Modeling and Control) tool box.The proposed PSOPIλDµ controller has superior performance and robust compared to GA tuned PIλDµ controller. The results are also compared with PSO tuned PID controller.
其他摘要：In this paper a novel design method for determining fractional order PID (PI λ D µ ) controller parameters of an AVR system using particle swarm optimization algorithm is presented. This paper presents how to employ the particle swarm optimization to seek efficiently the optimal parameters of PI λ D µ controller. The robustness study is made for this controller against parameter variation of AVR system. This work has been simulated in MATLAB environment with FOMCON (Fractional Order Modeling and Control) tool box.The proposed PSOPI λ D µ controller has superior performance and robust compared to GA tuned PI λ D µ controller. The results are also compared with PSO tuned PID controller.
关键词：Electrical (Power);AVR system; PID controllers; PIλDµ; Genetic Algorithm (GA); Particle swarm optimization (PSO)