利用模糊系统的自适应模糊控制器  

Adaptive Fuzzy Controller by Using Fuzzy Systems

作　　者：金宗华[1] 张龙茁 李远昌 姜根泽 

机构地区：[1]华东理工大学信息学院,上海200237 [2]釜庆大学电子系

出　　处：《控制工程》2008年第5期572-575,共4页Control Engineering of China

摘　　要：针对非线性系统控制,设计了利用TSK(Takagi-Sugeno-Kang)模糊系统的自适应模糊控制器。所设计的自适应控制方法是参考模型自适应控制方法,而且利用Lyapunov函数保证了闭环系统的稳定性,同时推导了最优的自适应控制规律。首先,根据控制对象的输入输出数据建立TSK模糊模型,然后,由TSK模糊模型设计初期的TSK模糊控制器,并根据自适应规律随时调整模糊控制器参数。倒立摆系统的仿真实验验证了所设计的自适应模糊控制器的有效性。Adaptive fuzzy controller for nonlinear systems is designed by using TSK （Takagi-Sugeno-Kang） fuzzy model. The adaptive control is model reference adaptive control. By using Lyapunov function, the stability of closed-loop system is assured and the best adaptive law is calcu- lated. The TSK fuzzy model is constructed based on the input-output data obtained from a target plant. Then, the TSK fuzzy controller is determined based on the TSK fuzzy model. Parameters of the fuzzy controller can be adjusted according to the adaptive rule. The adaptive fuzzy controller is applied to control an inverted pendulum system, and the results show the effectiveness of the proposed method.

关 键 词：自适应控制器 TSK模糊系统 非线性系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]