An Improvement in Dynamic Behavior of Single Phase PM Brushless DC Motor Using Deep Neural Network and Mixture of Experts

Brushless DC motors play a vital role as workhorse in many applications, especially home appliances. In the competitive world of day, brushless motor is wise choice for applications because its high power density, simple driving circuit, and efficiency. Accordingly, demonstrating feasibility new controller on this type has undoubtedly paramount importance. Two methods speed controllers, namely linear-quadratic regulator, proportional-integral-derivative, are mixed using mixture experts (MoE) single-phase PM external rotor motor. The dynamic model SP BLDC ER characterizes behavior motor, involving cogging torque electromotive force (EMF) gained from 2D finite element analyses. supplied by pulse width modulation inverter with constant voltage source. results disclose that performance enhanced more robust during load disturbance. ANSYS MATLAB environments used obtaining analysis motors, respectively. merits proposed approach validated through implementing low-scale experimental setup.