Fuzzy direct adaptive control of permanent magnet synchronous motor drive

This paper investigates the application of a new fuzzy adaptive controller to the control of permanent magnet synchronous motor (PMSM) speed. The proposed controller consists of two parts: the first is the classical fuzzy logic controller (FLC), constituted by fuzzy if-then roles, whose inputs are the speed error and the change of speed error, and its output is the reference torque. The second is the adaptation mechanism, which adjusts the fuzzy controller parameters to minimize the error between the reference speed output and the machine speed. The fuzzy adaptive controller (FAC) can be started without prior information on the machine, and can learn and tune rapidly the fuzzy controller rules to meet the desired performance, even when the machine parameters change. Simulation studies for various operating conditions show the superior performance of the FAC compared to PI control.