Parameter-Estimation-Based Adaptive MTPA Control for Interior Permanent Magnet Synchronous Motors

Abstract

To mitigate the influence of parameter variations on the maximum torque per ampere (MTPA) operation of interior permanent magnet synchronous machines (IPMSMs), a parameter-estimation-based adaptive MTPA control method is presented in this paper. A parameter estimator that exploits the recursive extended least squares (RELS) algorithm is established to accurately estimate the $\boldsymbol{q}$ - and $\boldsymbol{d}$ -axes inductances and the permanent magnet flux linkage of the machine. The optimal current vector angle that is critical in the MTPA operation of the machine can be accordingly calibrated under parameter variation conditions. This paper considers and simulates a speed servo control system where the proposed adaptive MTPA control with RELS algorithm is demonstrated. Extensive case studies have been carried out to verify the effectiveness and robustness of the proposed strategy.