Comparative analysis of neural and P-I controller for

This paper describes Artificial Neural Network (ANN) based speed and current controller design for Permanent Magnet Synchronous Motor (PMSM).The neural network controllers are designed to translate the speed and current errors into respective driving voltage signals to the input of PMSM. A multilayer feed forward neural network is trained using Back propagation learning algorithm to estimate the driving voltage input of PMSM. To analyze the performance of neural controller, the overall system is simulated under various operating conditions. The simulation results compared with conventional P-I controller for different conditions highlight the performance of the proposed controller in steady state and transient conditions.