摘要
针对两输入一输出的典型模糊控制器,提出了MEA FUZZY自适应控制策略,采用MEA对模糊控制系统的5个相关参数进行优化,实现了输出比例因子的在线调整,并在分析规则表的基础上调整了模糊隶属函数,从而使该自适应模糊控制器的整体性能接近最优。仿真结果表明,该控制系统结构合理,优化方法简单有效,控制品质优良,同时具有较强的适应性和鲁棒性。
To improve the performance of fuzzy controller( FC), this paper, aiming to two input-one output conventional FC, points out a new MEA-fuzzy adaptive control diagram, which uses MEA(Mind Evolutionary Algorithm) to optimize 5 parameters of FC and realizes on-line tuning of K_u(output ratio factor).In addition,membership function of FC is adjusted based on rule-table analysis. As a result, united performance of FC becomes optimal. Simulated experiment shows that this new FC is sound, adaptive and robust, furthermore, this optimization method is simple and effective.
出处
《太原理工大学学报》
CAS
2004年第3期247-250,共4页
Journal of Taiyuan University of Technology
基金
国家自然科学基金资助项目(60374029)
山西省留学回国人员基金资助项目(200027)
关键词
模糊控制器
自适应控制
MEA算法
优化
隶属函数
fuzzy controller
self-adaptive control
mind-evolutionary-algorithm
optimization
membership function
