CMAC Neural Networks Based Combining Control for BLDC Motor

This paper presents a control scheme combined with CMAC neural network and PID controller for the brushless DC motor. The CMAC neural network control learned continuously and gradually becomes the main effect control. The mathematical model of square-wave PM BLDC motor is adopted and used to build the simulation block models. In a simulation of different circumstances by the conventional PID controller and the combine controller was carried out. The results show the validity of the model and the advantages of CMAC neural networks combine control of BLDC motor system under the sudden changes of torque and velocity signals.