期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2016
卷号：9
期号：3
页码：1497-1515
出版社：Massey University
摘要：This paper introduced the self-tuning fuzzy PID controller based on particle swarmoptimization which aims to gain more precise control over the position of pneumatic proportional valvebarrel, where particle swarm works to optimize the membership function, fuzzy rule and PID parameterin fuzzy control. The study fruits also include online optimization of the self-tuning fuzzy PIDcontroller parameters. Comparing to the conventional control methodology, The self-tuning fuzzy PIDcontroller with PSO optimization is proven to show better precision, dynamic performance index andmore rapid tracking performance and robustness. To this end, step response was used to compare andanalyze the results from the PSO algorithm optimization, providing a pragmatic method of bettercomprehensive performance for PID parameter optimization.
