文献类型：期刊文献

英文题名：A modified PSO Algorithm based on Cloud Theory for optimizing the Fuzzy PID controller

作者：Li, Xiang[1]; Chen, Jianjun[1]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2022

卷号：2183

期号：1

外文期刊名：Journal of Physics: Conference Series

收录：EI(收录号：20220811697281)

语种：英文

外文关键词：Controllers - Particle swarm optimization (PSO) - Electric control equipment - Proportional control systems

摘要：To obtain a more efficient intelligent controller, this paper presents a modified cloud theory-based particle swarm optimization (CTPSO) algorithm to improve fuzzy PID controller. Cloud evolution and mutation methods based on cloud theory are introduced to tune inertia weight of particle swarm optimization algorithm (PSO), which can improve the optimization accuracy and speed of PSO. The comparative experiments indicate that CTPSO performs better than PSO and other optimization algorithm recently proposed by other researchers. The CTPSO is used to set the initial PID control parameters and optimize control rules of fuzzy PID controller. According to an engineering case of the 180°C-die heater's temperature control, the novel optimized fuzzy PID controller can suppress the oscillation and overshoot significantly. It also owns smaller adjustment time, static error and better comprehensive performance compared with the initial controller. ? Published under licence by IOP Publishing Ltd.