Neuro PID Speed Controller for Permanent Magnet Synchronous Motor

This paper deals with the designing of neural PID speed controller of Permanent Magnet synchronous Motor (PMSM). The conventional Proportional-Integral-Derivative (PID) controller is largely used in industry because of the robustness this regulator procures. ANN is developed controller in this work, offer inherent advantages over conventional PID controller for PMSM, Reduction of the effects of motor parameter variations, improvement of controller time response and improvement of drive robustness. The permanent magnet synchronous motor is controlled with a neural network tuned PID controller. Neural network is trained to provide the optimum value for various set speed and various load conditions. Simulation results show the designed controller improves the dynamic and steady state performance of the PMSM when compared to the conventional PID controller. Keywords— ANN, PMSM, PID controller, robustness, PI controller