A Comparative Study of BLDC Motor Speed Control Using PI and ANN Regulator
Djamel Eddine Beladjine, Djamel Boudana, Abdelhafidh Moualdia, Mohamed Hallouz, Patrice Wira
Abstract
This article discusses a comparative study between classical PI control and Artificial Neural Network (ANN) based control of a brushless DC motor. BLDC is recommended for drives that require a large load torque, these types of motors are non-linear systems which require robust control. Due to the saturation characteristic presented by the conventional PI regulator which causes the instability of the system, we have used an artificial neuron-based controller to overcome these aspects and to provide a better dynamic and quick response, in order to control the speed of a BLDC motor as well as the reduction in torque ripples. Simulation results obtained using MATLAB / SIMULINK show that the artificial neuron network controller performance evaluation are better than those obtained by the standard PI controller.