自动化与信息工程2025，Vol.46Issue(1)：52-58,7.DOI:10.3969/j.issn.1674-2605.2025.01.008
基于灰狼优化算法的模糊PID控制器参数优化
Parameter Optimization of Fuzzy PID Controller Based on Gray Wolf Optimization Algorithm
胡智勇 1龙祖强 1古嘉盈 1孙柯1
作者信息
- 1. 衡阳师范学院物理与电子工程学院,湖南 衡阳 421002
- 折叠
摘要
Abstract
The parameter optimization of fuzzy PID controller is still an unsolved problem.The use of grey wolf optimization algorithm to optimize the quantitative factor and scaling factor of fuzzy PID controller can improve the control performance of the system under given conditions.Through the step response experiment of the golf club system,it was verified that the fuzzy PID controller based on the grey wolf optimization algorithm has significant advantages over traditional fuzzy PID controllers,particle swarm optimization algorithms,and genetic algorithm optimized fuzzy PID controllers in terms of system response time,overshoot,and adjustment time,effectively improving the control performance of the system.关键词
灰狼优化算法/模糊PID控制器/参数优化/量化因子/比例因子Key words
grey wolf optimization algorithm/fuzzy PID controller/parameter optimization/quantitative factor/scaling factor分类
计算机与自动化引用本文复制引用
胡智勇,龙祖强,古嘉盈,孙柯..基于灰狼优化算法的模糊PID控制器参数优化[J].自动化与信息工程,2025,46(1):52-58,7.
