Torque Ripple reduction of BLDC Motor Drive using Finite-Control-Set Model Predictive Control Strategy

Brushless DC (BLDC) motor is the first option for lightweight industrial application and electric vehicles because of its high power density and high torque and low maintenance and suitable speed range. The vehicle environment is very dynamic, nonlinear, and noisy. This paper has investigated comparative research between two control strategy of BLDC motors: The speed control strategy applying a model predictive control (MPC) and BLDC motor stator current control method applying hysteresis current controllers. Suggested MPC strategy does not require Hall sensors and applies position sensor for gaining the back-EMF waveforms. The both methods were studied and simulated with the same working conditions. Also, qualitative and quantitative analyzes were performed for both methods and the results of both methods were obtained. The simulations in MATLAB-SIMULINK show that the target control method of the predictive model works better than the hysteresis current control method in terms of torque and following the reference speed.