Intelligent Model-Based Speed Controller Design for PMSM

An intelligent model-based speed controller of permanent magnet synchronous motors (PMSM) is proposed in this paper, which synthesizes the simplicity of PID controller and the adaptability of artificial neural network based controller. Small signal model of the speed loop as the foundation of the framework of the controller is analyzed. The gradient rule is utilized to update the weights of the neuron inputs, and auxiliary retrain process is used to improve the dynamic performance of the controller. A comprehensive simulation was done to verify the validation of the intelligent speed controller. Comparison with the conventional PID controller demonstrates the outstanding performance and robustness of the proposed controller. The feasibility of implementation of the proposed speed controller on physical platforms is also covered in this paper.