控制理论(社会学)
补偿(心理学)
职位(财务)
转子(电动)
计算机科学
信号(编程语言)
跟踪误差
位置误差
扭矩
工程类
控制(管理)
人工智能
物理
校准
电气工程
财务
经济
热力学
量子力学
程序设计语言
心理学
精神分析
作者
Hechao Wang,Kaiyuan Lu,Dong Wang,Frede Blaabjerg
标识
DOI:10.1109/tia.2019.2958792
摘要
In low-speed sensorless control of surface-mounted permanent magnet synchronous machine (SPMSM), high-frequency (HF) signal injection methods are often used to estimate the rotor position by tracking the motor saliency characterized by the inductances. Cross-saturation effects caused by the load current will influence the inductances, and consequently the saliency, which will introduce position estimation error to the sensorless drive, degrading the drive performance. Such load-dependent position estimation error, which is inherent in HF signal injection sensorless methods, is difficult to be identified by the sensorless algorithm itself. This article proposes a new online method to detect and compensate the load-dependent position estimation error for SPMSM without additional devices or the knowledge of the load-dependent HF inductances. The proposed method can identify effectively the load-dependent position estimation error by simply varying the direction of the current vector. Experimental results are presented to validate the proposed solution.
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