Controller design of PM synchronous motor with parameter tuning and fuzzy logic

This paper mainly investigates the controller design of a permanent magnet synchronous motor. Particularly, the fuzzy logic is used to tune the current controller parameters. The mechanical parameters, mechanical inertia and friction coefficient, are estimated via a simplified model from the torque equation. Combined with the load torque estimation and the pole-placement method, the parameters of speed controller can be on-line tuned. Finally, a PC-based experimental scheme is used to evaluate the proposed methods. Experiment results indicate that the proposed method provides better speed control performance than the conventional PI controller does.