一种改进的自适应模糊控制器  

An Improved Self-Adaptive Fuzzy Controller

作　　者：王琦[1] 李成利[1] 

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266042

出　　处：《甘肃科学学报》2015年第3期20-22,共3页Journal of Gansu Sciences

摘　　要：改进了自适应模糊控制方法,将一阶TS模糊模型作为IF-THEN规则后件,引入额外的参数向量,调整RBF网络的所有参数,从而减少了逼近误差,提高了跟踪性能并改善了控制性能。通过仿真及在典型非线性系统单级倒立摆上的应用表明其有效性。The self-adaptive fuzzy control method was improved. The first-order Sugeno fuzzy system was utilized as the consequent of the IF-THEN rules,additional parameter vectors were introduced,all the RBF network parameters were adjusted,and thereby the approximation error was reduced,the tracking performance and control performance were improved. The simulation and the application to the single inverted pendulum in the typical nonlinear system verified the effectiveness of the controller.

关 键 词：自适应控制 模糊控制 模糊逼近器 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]