Chaos Control of BLDC Motor via Fuzzy Based PID Controller

Abstract

This paper presents a developed method which is a fuzzy-based proportional integral derivative (PID) controller design for the chaos control of brushless direct current (BLDC) motor model. The parameters of the BLDC motor model are determined with a linear regression method via analyzing the system dynamics in the MATLAB/Simulink simulation environment. After finding the model parameters, the BLDC motor is tested under forcing the chaotic behaviors range by using an external load torque input. The performance analysis of the developed fuzzy-based PID controller is done for suppressing chaotic behaviors of the BLDC motor dynamics that is to say the system dynamics of the motor should provide their equilibrium or limit cycle solutions. The performances of the developed fuzzy-based PID and conventional PID controllers are compared to each other and their results are presented in terms of the mean square error, and the suppression performance of the model’s chaotic behaviors is tested by using the phase portraits and maximum Lyapunov exponents.