Optimized Adaptive Neuro Fuzzy based Controller for lifetime maximization in power electronics stage for brushless DC drives

In recent days, the lifetime of the power electronics stages in electric drives is considerably degraded through the command signal from the speed controller owing to the fact that the characteristics of the power electronics stage are not considered in the design of the controller. The minimization of the power electronics lifetime creates early faults in the functioning of electric drives that majorly directly affect the industrial process where the power electronic stages are utilized. Therefore, power electronics stage for the controller is often over-designed, which decreases the performance and increment the cost, weight, and size. In electric drives, the power electronics elements operate on high-switching frequency in driving high electric power to accomplish the anticipated mechanical reference in electric brushless DC motors. With this motivation, this paper presents a new Barnacles Mating Optimizer with Adaptive Neuro Fuzzy based Controller (BMO-ANFC) for lifetime maximization in power electronics stage for brushless DC drive. The proposed BMO-ANFC technique is used to optimize the network design of the ANFC model. Besides, the BMO-ANFC technique derives an objective function involving required speed and reference temperature. In fact, the speed response of the motor and the temperature of the semiconductor are treated in the objective function to tune the fuzzy logic controller for increasing the lifetime of power electronics devices. For ensuring the enhanced outcome of the BMO-ANFC technique, a series of experiments were performed. The experimental outcomes highlighted the enhanced performance of the BMO-ANFC technique over the recent state of art controllers.