An Optimized Speed Controller for Brushless DC motor using Hybrid Genetic-Fuzzy Controller Technique

This paper presented the hybrid auto-tuning technique for the brushless direct current motor speed control combining fuzzy logic controller and genetic algorithm (GA). Based on the combination of Genetic algorithm (GA) that belongs to the larger class of evolutionary algorithms with Fuzzy logic controller that operates based on the database rules and intelligent decision making, an optimized speed controller is proposed. In this control framework, the GA-Fuzzy controller contains current feedback loop which is to adjust the torque of the motor and the fuzzy logic controller loop whose control rules are optimized off-line and parameters are adjusted based on the genetic algorithm. The simulation results can proved that the proposed technique has better performance than conventional PID controller