摘要
针对多变量模糊控制器设计中存在规则库维数过高、隶属函数以及规则库难于获取的问题 ,提出一种新的递阶模糊控制器 (NHFLC) ,使得总的规则数大大减少 ,且无需了解各输入变量对系统的影响程度 .基于该控制器结构下的模糊控制策略利用遗传算法来获得 .仿真结果表明NHFLC与通常的MIMO模糊控制器相比 ,具有更好的动态性能和鲁棒稳定性 .
To treat the difficulties in the design of MIMO fuzzy controller, which arise as high dimensional rule bases and the acquirement of the membership functions and rules, a novel hierarchical fuzzy logical controller (NHFLC) is presented in this paper. Based on the proposed controller, empirical information and expert knowledge about the process are not needed, and the total number of rules is drastically decreased. Genetic algorithm is used to obtain the fuzzy control strategies for the NHFLC. The simulation results show the proposed NHFLC has better dynamic performance and robust stability than the conventional MIMO fuzzy controller.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2001年第5期657-661,共5页
Control Theory & Applications
基金
国家自然科学基金 (6970 40 0 6)资助项目
