Synchronous reluctance motor flux linkage self-learning method with resistance error compensation

The invention discloses a synchronous reluctance motor flux linkage self-learning method with resistance error compensation, and relates to the technical field of synchronous reluctance motor off-line parameter identification. The invention aims to solve the problem that the accuracy of an existing...

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Hauptverfasser: YANG GUIJIE, TAN KAIWEN, ZHONG BENCHENG, SU JIANYONG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a synchronous reluctance motor flux linkage self-learning method with resistance error compensation, and relates to the technical field of synchronous reluctance motor off-line parameter identification. The invention aims to solve the problem that the accuracy of an existing flux linkage self-learning method is reduced due to iron loss. According to the synchronous reluctance motor flux linkage self-learning method with resistance error compensation, the bipolar voltage signal is adopted as excitation, the average output torque of the motor is zero, and motor rotation in the self-learning process can be effectively avoided. The negative influence of the resistance error on the accuracy of a flux linkage self-learning result is considered, a corresponding resistance error identification method is adopted, and the resistance error including the iron loss resistance caused by the iron loss is directly compensated. 一种带电阻误差补偿的同步磁阻电机磁链自学习方法,涉及同步磁阻电机离线参数辨识技术领域。本发明是为了解决现有磁链自学习方法的准确性会因铁损而降低的问题。