A new adaptive fuzzy vector control for permanent magnet synchronous motor drive

The control of a permanent-magnet synchronous motor (PMSM) is a nontrivial issue in AC drives, because of its nonlinear dynamics and time-varying parameters. This paper investigates the application of a new adaptive logic fuzzy controller (FLC) for the speed control of field oriented PMSM fed by voltage source inverter. A model-reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and changes of error measured between the motor speed and the output of a reference model. To make the controller less dependent on the quality of the expert knowledge, the fuzzy speed controller is augmented by the model following error driven fuzzy adaptive mechanism to provide fast and robust control for various operating conditions. The effectiveness of the proposed control is illustrated by numerical simulation results.