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Predictive current control (PCC) has excellent transient performance, which is a research hotspot in permanent magnet linear synchronous motor (PMLSM) control system. However, model mismatch and parameter variation will result in the current static error and even the system instability. Generally, the parameters will change as the motor runs. Therefore, to solve the problem of parameter dependence in PCC and achieve high performance control of the PMLSM control system, a model reference adaptive system (MRAS) which can identify the inductance and permanent magnet (PM) flux linkage simultaneously is proposed and applied. The simulation and experimental results verify the correctness and effectiveness of the researched scheme.

Title:An Adaptive Robust Predictive Current Control Scheme With Online Parameter Identification Based on MRAS for High-Performance PMLSM Drives Authors:Cong Bai, Zhonggang Yin, Yanqing Zhang, Bichen Wang

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