基于改进继电器反馈测试的IPMSM磁链弱化控制器在线非参数自整定

Wesam Taha, A. Emadi
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引用次数: 4

摘要

本文提出了一种非参数自整定方法,利用改进的继电器反馈测试(MRFT)对电压调节(VR) FW控制回路的相位裕度进行了规范。与文献中提出的利用线性化植物模型的小信号模型不同,MRFT可以在驱动系统上在线进行,以推断PI参数,而无需事先了解机器参数。这是特别重要的,因为机器参数,如定子电阻和电感,在高温下工作时可能会偏离。此外,在深FW区域操作机器时,VR-FW环路表现出变化的静态增益。仿真结果表明,与基于机器参数的自适应FW控制相比,该方法在深度FW区域具有更好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Non-Parametric Auto-Tuning of Flux Weakening Controller for IPMSM Drives using Modified Relay Feedback Test
This paper proposes a non-parametric auto-tuning methodology for flux weakening (FW) controller tuning, with specifications on phase margin of the voltage regulation (VR) FW control loop, using the modified relay feedback test (MRFT). Unlike proposed small-signal models in the literature that utilize linearized plant models, the MRFT can be carried out online on the drive system to deduce PI parameters without a prior knowledge of machine parameters. This is particularly important since machine parameters, such as stator resistance and inductances, can deviate when operated at higher temperatures. Furthermore, the VR-FW loop exhibit a varying static gain that must be accounted for when operating the machine in deep FW region. Simulation results demonstrates a superior and robust drive performance in deep FW region when compared to adaptive FW control based on machine parameters.
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