Search-Algorithm-Based Offline Inductance Identification Using Sliding Mode Flux Observation Data for IPMSMS

Yaofei Han, Shaofeng Chen, Zhixun Ma, Chao Gong, Xing Zhao, Yunwei Li

科研成果: 期刊稿件文章同行评审

摘要

This letter proposes a sliding mode observer (SMO) based technique to detect the d-, q-axis inductances of interior permanent magnet synchronous machines (IPMSM) offline by using a novel search algorithm. The rationale behind the proposed method is that the chattering effects of the SMO are minimal when the parameters used to construct the observer comply with the real ones. First, a sliding mode flux observer (SMFO) is constructed to observe the rotor flux that has strong links with the inductances. Second, the relationship between the inductances and the observed flux, which is relevant to the chattering effects of the SMFO, is illustrated in theory. Then, a quick search algorithm that can be easily executed on the digital processors is designed to detect the d- and q-axis inductances. Finally, comparative experiment is conducted on an IPMSM to validate the proposed techniques.

源语言英语
页(从-至)4033-4038
页数6
期刊IEEE/ASME Transactions on Mechatronics
29
6
DOI
出版状态已出版 - 2024

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