摘要
基于模糊逻辑逼近原理 ,针对非线性动态未知互联系统 ,设计一种新的模糊分散控制器 .讨论了互联项满足或不满足一般性约束条件的两种情形 ,用不同方法来补偿其对大系统的影响 .同时利用模式转换函数来实现间接自适应控制与模糊滑模控制之间的转换 ,使系统的状态在有界闭集内变化 ,并依据Lyapunov方法证明了闭环系统稳定 ,跟踪误差收敛到零的一个小邻域内 .仿真结果证明所设计的模糊控制器的有效性 .
Based on fuzzy logic approximation principle, a new fuzzy decentralized controller is designed for a class of nonlinear interconnected systems with unknown dynamics. Two cases are discussed, i.e., whether or not the interconnected terms satisfy certain general restrict conditions. Different methods are adopted to counteract the affection of the interconnected terms to the whole system. The mode transformation function is used to realize the changing between the fuzzy indirect adaptive controller and fuzzy sliding mode controller, which keeps the state of the system changing in a close bounded set. By using Lyapunov method, it is proved that the close-loop system is stable and the tracking errors converge to a neighborhood of zero. The result of the emulation proves the validation of the designed controllers.
出处
《自动化学报》
EI
CSCD
北大核心
2003年第5期658-665,共8页
Acta Automatica Sinica
基金
SupportedinpartbyNationalNaturalScienceFoundation (79970 114 )andtheNationalKeyProjectofP .R .China
关键词
非线性互联系统
间接自适应模糊控制
滑模控制
跟踪控制
Adaptive control systems
Computer simulation
Fuzzy control
Lyapunov methods
Nonlinear control systems
Sliding mode control
System stability
Theorem proving
Tracking (position)