Power Optimization of Electric Motor using PID-Fuzzy Logic Controller

This paper presents an optimization of 3-phase AC motor power consumption by means of intelligent control signal. The control signal is generated by the controller consists of Proportional, Integral and Derivative (PID) controller combined with fuzzy logic controller to produce the optimal control signal. The proposed controller is able to minimize the Root Mean Square Error (RMSE) of the response of motor. The PID controller parameters are obtained from the H
_∞
synthesis of the full state feedback form of the motor, and fuzzy logic is designed to reject the noise and to flatten the motor response implemented using Raspberry Pi. By generating control signal with the controller, the electric power consumption of the 3-phase AC motor is reduced to 0.58% - 4.32%, and the RSME of the motor response is decreased to 4.90% - 12.26 %.