This paper proposes a loss minimization control method based on improved gradient descent algorithm (GDA) for interior permanent magnet synchronous machine (IPMSM). Since the power of PMSM is derived from the measured phase voltage and current, this method is independent from the iron loss model containing motor parameters. Meanwhile, it can guarantee the stability of PMSM system when entering the searching period. Both maximum torque per ampere (MTPA) and id = 0 control are carried out to validate the effectiveness of the proposed method. The experimental results are demonstrated to verify the proposed approach.

No abstract

This paper proposes an improved current decoupling method (ICDM) combined with forgetting factor recursive least square (FFRLS) of interior permanent magnet synchronous machine (IPMSM). The framework of the proposed model includes the complex vector decoupling module and the approximate voltage compensation module. The strategy of complex vector decoupling is extended to IPMSM, and the parameters setting of current loops is more flexible. Considering the inaccuracy of resistance measurement and parameter variation with temperature, FFRLS model is applied to update the voltage compensation online. The experiments results demonstrated that better dynamic response performance could be achieved using the proposed control method.

No abstract