文章基本信息

标题：OPTIMUM PID PARAMETER SELECTION BY PARTICLE SWARM OPTIMIZATION IN AUTOMATIC VOLTAGE REGULATOR SYSTEM
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作者：G.MADASAMY ; C.S.RAVICHANDRAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：66
期号：1
出版社：Journal of Theoretical and Applied
摘要：This Paper presents a tuning method based on evolutionary computing approach to determine the Proportional-Integral-Derivative (PID) controller parameters in Automatic Voltage Regulator (AVR) system. The main objective is to increase the step response characteristics and reduce the transient response of AVR systems. This paper described in details how to employ Particle Swarm Optimization Technique (PSO) method to determine the optimal PID controller parameters of an AVR system. The proposed algorithm can improve the dynamic performance of AVR system. Compared with Ziegler Nichols (Z-N) tuning method, the proposed PSO method has better control system performance.
关键词：AVR System; PID Controller; Particle Swarm Optimization (PSO); Ziegler-Nichols Tuning