Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller

Abstract

Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive systems such as Electric vehicle (EV). This paper presents a modern approach of speed control for BLDC using particle swarm optimization (PSO) algorithm. to optimize the scaling factors of fuzzy logic controller (FLC). The overall system is simulated under various operating conditions and simulation results have been examined at different control techniques. At the same operating conditions, these simulation results are compared with those obtained using fuzzy logic. The investigated results illustrated that the use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load and the simulation results showed good dynamic response with fast recovery time.