Abstract
This paper proposes a maximum torque per ampere (MTPA) and flux-weakening (FW) control based on online parameters estimation for an interior permanent magnet synchronous motor (IPMSM) drive. Due to the impact of core saturation, cross-coupling effect and temperature, dq-axis inductances and magnetic flux linkage vary significantly. Consequently, control algorithms based on constant parameters may perform inefficiently and unstably. In this paper, an online parameters estimation algorithm based on a novel model reference adaptive system (MRAS) has been developed. By use of the estimated results, the parameters in MTPA and FW algorithm are updated in order to improve the accuracy and robustness. Finally, the feasibility and validity of the proposed algorithm are proved through simulation.
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