Optimized PV fed sensorless BLDC motor control system using Q-recurrent adaptive controller and Levy-enhanced circular search mechanisms

Sensorless BLDC motor speed and torque control find a wide range of applications in electric vehicles, renewable power systems, industrial automation, and other places where efficient and reliable operation is required. Most of the conventional control techniques that have been traditionally used are the PID and ANFIS controllers, which generally bear limitations in performance for varying load conditions, complexity, and sensitivity to parameter variations. The goal of the paper presented in this context is to develop a smart controller for the Solar PV-fed sensorless BLDC motor. It combines a Q-Recurrent Adaptive Motor Controller (Q-RAMC) controlling mechanism with Levy-Enhanced Circular Search (LECS) for mapping function estimation. The novelty in this work rests on the combined effect of a Solar PV system with advanced control techniques for sensorless BLDC motor operation. Indeed, the developed method outperforms several existing control methods, hence yielding superior results in the form of smaller torque variations, smoother speed profile, and improved dynamic response. The simulation results show that the proposed approach significantly enhances motor control and outperforms conventional PID and ANFIS controllers. The system reduces torque ripple by 3.10%, which allows a smoother torque to be delivered, while overall efficiency reaches up to 99% that is an excellent energy utilization. Also, the speed transient time decreases by 1.5 s and the rise time shortens by 0.5 s that indicates the faster dynamic response and the better control precision.