摘要
在分析现有的自适应模糊控制器不足之处的基础上 ,提出了一种新的自适应模糊控制器设计方法 .为保证系统性能的一致性 ,在启动自适应模糊控制器前 ,采用监督控制将初始跟踪误差镇定到给定范围 .自适应模糊控制器可在存在模糊逻辑系统逼近误差的情况下 ,使系统跟踪误差小于预先给定的任意常数 .文中用仿真算例验证了本方案的有效性 .
Based on analyzing disadvantages of the existing adaptive fuzzy control approach, a new design method of adaptive fuzzy controller (AFC) for a class of nonlinear systems is proposed. In order to ensure the consistency of the closed-loop system performances, before the AFC is applied, a supervisory controller is used to drive initial tracking errors to a preset closed area, and then the AFC can drive the tracking errors of the closed-loop system to pre-specified neighborhood in the presence of unknown approximation errors of the fuzzy logic system. Finally, simulation results verify the validity of this method.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2001年第2期226-229,共4页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家自然科学基金资助项目! (6 97740 0 9)
教委博士点基金资助项目! (19990 0 0 6 2 )
关键词
模糊系统
自适应控制
控制器
设计方法
FLS
Adaptive control systems
Closed loop control systems
Computer simulation
Error correction
Fuzzy sets
Optimization
