Abstract
The pulverizing process of a ball mill is rather complex. It is difficult to obtain the optimal control by the conventional control methods, so a new fuzzy self-optimizing control method is presented. The method divides the controller into two parts: the fuzzy adaptive PID control and the supervisory fuzzy control. The self-optimizing inference sub-system of supervisory fuzzy control is proposed for solving imprecise constrains optimization problems, and fuzzy self-optimizing interval and fuzzy self-optimizing step are applied to speed the rate of self-optimizing and improve the accuracy of self-optimizing. The fuzzy adaptive PID controller combines fuzzy self-adjusting PID control with fuzzy rough-tuning mechanism. The operation result shows that it is quite suitable for the control of mill and a large amount of electric energy is saved.
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