Position IP control of a permanent magnet synchronous motor based on fuzzy neural network

This paper aims to design the rotor position controller of the permanent magnet synchronous motor (PMSM) servo control system. A fuzzy neural network (FNN) position controller, which combines the capability of fuzzy reasoning in handing uncertain information and the capability of neural network in learning from process is designed to provide good position tracking performance of parameters variations and external load torque disturbances. By designing the FNN controller to compensate conventional position IP controller output, the control performance has been greatly improved, the error has been reduced obviously. Results of simulation are provided to verify the effectiveness of the presented FNN controller due to periodic sinusoidal command.