Research on Adaptive Direct Torque Control Based on Online Parameter Estimation Applied to Surface Permanent Magnet Motor

This paper proposed an online motor parameter estimation method to improve performance of direct torque control based on model prediction approach. The proposed parameter estimation adopts Popov's Hyper Stability Theorem to estimate accurate motor parameters, such as stator resistance, stator inductance and rotor flux linkage, which are critical for torque and flux estimation. The parameter estimation method is verified by a hardware in the loop emulation platform and thus proves the feasibility of the proposed method.