An adaptive inductance estimation technique for vector-controlled synchronous reluctance motor drive

被引：1

作者：

Bhattacharyya, Rajarshi ^{[1
]}

Basak, Saptarshi ^{[2
]}

Chakraborty, Chandan ^{[3
]}

机构：

[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

[2] IIT Delhi, Ctr Automot Res & Tribol CART, New Delhi, India

[3] IIT Kharagpur, Dept Elect Engn, Kharagpur, W Bengal, India

来源：

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2021年

关键词：

MRAS; Cross Magnetic Saturation; SynRM; Stator Inductance; Vector Control; SATURATION; INDUCTION;

D O I：

10.1109/ISIE45552.2021.9576235

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Synchronous Reluctance Machine (SynRM) has recently gained attention for electric vehicle application due to its lightweight construction. However, one of the major drawbacks of such motors is that the power factor is low. Therefore, it is important to operate such motors in the maximum power factor condition. Such an operation calls for correct values of inductance. In this paper, a method to estimate stator inductance has been proposed using the Model Reference Adaptive System. Two new functional candidates have been derived that estimate the d-axis and q-axis stator inductances to account for its variation due to magnetic cross saturation. Online inductance adaptation can lead to a significant improvement in the SynRM Power Factor. The proposed theory has been extensively tested by simulation studies on MATLAB SIMULINK and its effectiveness has been verified.

引用

页数：6

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