Parallel Distribution Compensation PID Based On Takagi-Sugeno Fuzzy Model Applied On DC Motor

Most of the industrial controllers in use today utilize PID controllers. In this paper, a new Parallel Distribution Compensator PID'S controller at several operating points, under parameters variations and external disturbances for the DC motor drive system. The parameters of PID's controllers were obtained at each operating point based on harmony search optimization. An effective cost function was used to perform the offline optimization. Three optimal PID's controllers were attained for each operating point individually. The fuzzy Takagi-Sugeno (TS) can be defined as the suitable PID controller for the corresponding operating point. The simulation results provided that Parallel Distribution Takagi-Sugeno PID's controller can be updated the suitable PID controller at several operating points so, it has good dynamic response with different types of disturbances (sudden load, variable load, and speed tracking) compared to the fixed optimal PID controller. Also, it can switch the better PID controller at a suitable time.