Open AccessRobustness Study of Fractional Order PID Controller Optimized by Particle Swarm Optimization in AVR System
Author(s) -
N. Ramesh Raju,
P. Linga Reddy
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i5.pp2033-2040
Subject(s) - particle swarm optimization , pid controller , control theory (sociology) , robustness (evolution) , matlab , physics , mathematics , algorithm , computer science , chemistry , temperature control , control (management) , thermodynamics , biochemistry , gene , operating system , artificial intelligence
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.