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Loss minimization vector-controlled SPMSM based on online parameter identification

Aiming at the problem that the model-based loss minimization control strategy (MLMCS) depends on the motor parameters, an improved model reference adaptive system(MRAS) is proposed to identify the core loss resistance, rotor magnetic-flux linkage, and the inductance step by step, which avoids the under-ranking problem when multi-parameters are identified online. The identified parameters are used in the online calculation of the optimal stator current, which can reduce the total electrical loss to achieve the purpose of energy saving. Finally, the validity of the parameter identification method designed in this paper and the energy-saving effect of the motor are verified by simulation experiments under different speed and torque conditions.