模糊PID数字控制器系统的仿真与设计

Simulation and Design of Numeral Fuzzy PID Controller System

传统的PID控制器不能实现参数自动调整,在使用上具有一定的局限性。以误差和误差变化率为输入,利用模糊推理的方法实现了对PID参数的在线自动整定,并且在MATLAB环境下就某二阶时滞系统,对该控制器进行了设计和仿真。从仿真结果可以看出,模糊自适应PID控制器控制效果优于传统的PID控制器,提高了系统的动、静态性能。该混合系统把PID控制的简便性与Fuzzy控制的灵活性以及鲁棒性融为一体,发挥了传统控制与Fuzzy控制的各自长处,具有较强的实际意义,对数字控制器系统的进一步应用研究具有很大的参考价值。

Traditional PID controller suffers a problem that it can＇t regulate parameters automatically and has some use limitations. In this paper,based on PID controller and taking error and error change as inputs,a fuzzy reasoning method is utilized to realize automatic regulation of PID parameters, and the controller in some two-rank delay system is designed and simulated with MATLAB. The result of simulation indicates that the adaptive fuzzy PID controller is superior to traditional PID controller and it can improve the dynamic and static properties of the control system. This mixing system combines convenience of PID control with flexibleness and robustness of fuzzy control, and has a strong practical significance and a high reference value for further applications.