Vector control of permanent magnet synchronous motor with surface magnet using artificial neural networks

This paper describes the vector control of a three phase permanent magnet synchronous motor with surface magnet (PMSM) drive using artificial neural networks. After reviewing the advantages of this solution, a possible vector control schemes for PMSM drives based on the principle of rotor flux oriented control is considered. Based on motor dynamics and non-linear load characteristics, an ANN speed controller is developed and integrated with the vector control scheme of the PMSM drive. The simulation results at various operating conditions validate the efficiency of the ANN for precise speed control of the PMSM drive and the feasibility of the proposed control system. Furthermore the use of ANN makes the drive system robust, accurate and insensitive to parameter variations.