volume | PIER Journals

Abstract

This paper addresses the susceptibility of motor parameters to external disturbances during the operation of three-vector model predictive current control (TV-MPCC) for permanent magnet-assisted synchronous reluctance motors (PMA-SynRMs), which leads to increased current fluctuations and reduced tracking precision. To enhance the control system's stability, a step-by-step parameter identification approach is proposed. First, the proposed method devises six switching configurations, considers eight potential current prediction points generated by voltage vectors, and reformulates the value function. Next, a model reference adaptive system (MRAS) is employed to incrementally identify the motor's d and q axis inductances, resistance, and flux linkage. These identified parameters are used to update the model in real time. In this study, a 3kW PMA-SynRM serves as the control object for simulation verification. Results indicate that the TV-MPCC based on step-by-step parameter identification has obvious improvement in current tracking static error and peak value of current fluctuation.

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Professor Aide Xu

Mr. Ruijie Liu

Dr. Yubang Yu