New predictive controller based on fuzzy internal model and its applications
一种新的模糊内模预估控制器及应用

A predictive control method based on fuzzy internal model has been proposed to overcome the disadvantages of dead time of process to be controlled. Its main feature is to introduce an intelligent fuzzy model predictor into control system so as to forecast the output of process in time; thereby it can reduce the influence of dead time. At the same time the controller based on fuzzy internal model would modify and compensate the change of model according to the predictive error. It is shown in the simulations that the proposed control method has better control results than other common control methods. Furthermore, the experiment of electrical-resistance stove indicates that it has a perfect practical outlook.