摘要
在模糊控制过程中,在给定规则情况下,隶属度函数设置将直接决定模糊控制器性能.然而随着需要调整的参数维数增大,传统优化算法很难找到全局最优.为此,基于良好全局搜索性能和收敛性,文章提出了一种基于DE优化方法的模糊控制器.并根据二级倒立摆特性,设置相应的目标函数进行参数优化.与之前相比,基于DE优化方法的模糊控制器在很大程度上提高了控制性能.
In the process of fuzzy control,the membership function will directly determine the performance of fuzzy controller under given rules.However,with the increase of parameter dimension,it is difficult for traditional optimization algorithms to find the global optimal.Therefore,based on good global search performance and convergence,this paper proposes a fuzzy controller based on DE optimization method.According to the characteristics of the two-stage inverted pendulum,the corresponding objective function is set for parameter optimization.Compared with before,the fuzzy controller based on DE optimization method improves the control performance to a great extent.
作者
鲍广喜
BAO Guangxi(School of Computer and Information,Anhui Polytechnic University,Wuhu 241000,China)
出处
《太原师范学院学报（自然科学版）》
2021年第3期43-47,共5页
Journal of Taiyuan Normal University:Natural Science Edition
基金
安徽省高等教育提升计划自然科学研究一般项目(TSKJ2017B31).
关键词
模糊控制
DE算法
参数优化
倒立摆
隶属度函数
fuzzy control
DE algorithm
parameter optimization
inverted pendulum
membership function
