摘要
采用模糊动态模型研究大范围、高阶非线性系统的自适应模糊控制问题。通过模糊推理选择起主导作用的局部子系统的状态反馈控制作用于整个系统 ,结合不确定系统的变结构控制理论 ,给出了通过增加监督控制确保闭环模糊系统稳定的定理 ,自适应模糊控制律在系统存在摄动和扰动时能使闭环系统具有鲁棒稳定性。仿真结果表明了该设计方法的正确性。
The adaptive fuzzy control for nonlinear systems with large working range and high order is studied by using fuzzy dynamic models. The control law for the overall system is chosen through fuzzy inference to be the state feedback control law of the dominant local linear model. The theorems to guarantee the stability of closed loop fuzzy systems are given, by adding a supervised controller which is based on variable structure control theory of uncertain systems. The closed loop system can be robustly stabilized by the adaptive fuzzy control law under some bounded perturbations and disturbance. Simulation results show the validity of the design method.
出处
《控制与决策》
EI
CSCD
北大核心
2000年第6期641-644,共4页
Control and Decision
关键词
模糊动态模型
自适应控制
变结构控制
稳定性
鲁棒性
fuzzy dynamic model
adaptive control
variable structure control
stability
robustness
