Fuzzy Self-adjusting PID Control Research Articles

Синтез системи управління сушильною установкою з використанням нечіткого контролера з самоналаштуванням

The control of the drying process in a drum-type drying unit due to its multifactorial nature is a difficult and complex process. Therefore, even at present such control is partially maintained on the basis of classical techniques and partially with the help of operator. The paper proposes a drum-type drying unit control system using a fuzzy self-adjusting PID controller drum-type drying unit; fuzzy PID controller; adaptive mechanism the scaling factor

Study on Rotational Speed Intelligent Regulation of Diesel Generator Based on Fuzzy PID Algorithm

Based on a mathematic model of diesel generator mechanical centrifugal governor and the traditional PID control and fuzzy control, a fuzzy PID controller is designed so as to accomplish the self-adjustment of diesel generator mechanical governor parameters. The fuzzy PID controlling diesel generator mechanical governing system is simulated by Simulink and the simulation results suggest that the fuzzy self-adjusting PID control owns the merits of well dynamic property, strong robustness and better adaptability compared to the traditional PID control. Therefore, the performance of diesel generator rotate speed governing system is largely advanced.

Novel Design Method for the Ball Mill Pulverizing System Based on Fuzzy Reasoning and Auto-Tuning PID Control

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.