控制理论(社会学)
零(语言学)
鉴定(生物学)
序列(生物学)
非线性系统
电压
计算机科学
物理
工程类
化学
人工智能
生物
电气工程
控制(管理)
哲学
语言学
量子力学
植物
生物化学
作者
Qiwei Wang,Shaobo Liu,Guoqiang Zhang,Dawei Ding,Binxing Li,Gaolin Wang,Dianguo Xu
出处
期刊:IEEE Transactions on Transportation Electrification
日期:2023-04-05
卷期号:10 (1): 55-66
被引量:14
标识
DOI:10.1109/tte.2023.3264527
摘要
Offline inverter nonlinearity identification is a useful method to deal with the inverter nonlinearity effect in machine drive. However, the conventional methods can only be achieved at a particular initial rotor position, which reduces the application universality. Meanwhile, it is revealed in this article that the zero-sequence voltage error exists in the zero-axis voltage, which reduces the identification accuracy and has rarely been investigated. To solve the above problems, an offline inverter nonlinearity identification scheme applicable at arbitrary initial rotor positions is proposed, where the zero-sequence voltage error is fully considered. In this article, the characteristics of zero-sequence voltage error at different rotor position cases is fully investigated by the theoretical analysis for the first time. The offline identification approach at different rotor position cases is then introduced, with the zero-sequence voltage error eliminated. Finally, the second-order Newton interpolation polynomial (NIP)-based fitting strategy is proposed to reduce the calculation complexity. The proposed method is validated on a 2.2-kW permanent magnet synchronous motor (PMSM) platform.
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