Online Parameter Estimation of Permanent-Magnet Assisted Synchronous Reluctance Motor

In comparison with the conventional synchronous reluctance machines, permanent-magnet assisted synchronous reluctance motor drives (PMa-SynRMs) have offered better torque capabilities and power factors. In order to achieve maximum efficiency, knowledge of the motor parameters is necessary to implement advanced control algorithms. Variation of motor parameters due to temperature and airgap flux has been reported in literature. Using offline models to estimate the motor parameters is known as a computationally intensive method, especially when the effect of cross saturation is included in the models. Therefore, in practical applications, online parameter estimation is favored to achieve a high-performance control system. In this paper, a simple practical method for parameter estimation of PMa-SynRM is introduced. This method is capable of identifying d- and q-axes inductances and the permanent-magnet back electromotive force