Artificial intelligence based speed control of brushless DC motor

This paper presents a control scheme combined with neural network, fuzzy controller and PI- controller for the brushless DC motor. The neural network control learned continuously and gradually becomes the main effective control. Performances of the proposed neural network are compared with the corresponding fuzzy PI controller and conventional PI controller. Matlab/simulink software was used to simulate the proposed scheme. Neural network improves speed response and also reduces torque ripples. The simulation results are verified with new control strategy.