基于模糊自整定PID控制器的非线性系统仿真

Simulation of Nonlinear Control System Based on Self-adjusting PID Controller of Fuzzy Inference

将PID控制与Fuzzy控制的简便性、灵活性以及鲁棒性融为一体,构造了一个自适应模糊PID控制器.通过模糊控制规则在线调整PID控制器的参数,并利用MATLAB语言结合具体实例方便而快速地实现了该控制器的计算机仿真.仿真结果表明:该控制方法提高了非线性系统的动、静态特性,使系统获得了较好的性能.

A self-adjusting PID controller,which has simpler structure and higher robustness,is built when Fuzzy logic controller and PID controller are combined together appropriately.Using this control method, the three parameters of PID controller can be adjusted adaptively on line according to deviation and rate of deviation. A simulation model of typical nonlinear system is realized successfully with MATLAB/SIMULINK. The results of simulation show that the controller has improved dynamic and static performance of control system and has obtained good control quality. That is to say,this control method is effective on nonlinear system.