基于内模结构的模糊控制器

FUZZY CONTROLLER BASED ON THE STRUCTURE OF INTERNAL MODEL

通过对具有纯滞后被控过程进行的数字仿真研究 ,提出了一种基于内模结构的模糊控制方法。其最大特点是引入了模糊预估器作为被控过程的内部模型 ,对实际过程输出起预估作用 ,从而消除了大时滞带来的系统不稳定。此算法的控制效果要优于常规 PID、FUZZY和 IMC控制方法 [1] 。

A fuzzy controller based on the construction of internal model is proposed. As it adopts a fuzzy predictor, this method can overcome dead time effectively. The results of computer simulation show that the method can reduce the static error of the system and enhance its robustness as well as its disturbance rejection ability; it is inferred that this method is superior to the other controllers such as PID, MIC and FUZZY. At the same time, this method is successfully used in real\|time control system of industrial temperature. So it is concluded that this method has not only its theoretical value but also a higher practical value.