Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer

Joint Authors

Zhang, Miaoying
Xiao, Fan
Shao, Rui
Deng, Zhaojun

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-30

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Civil Engineering

Abstract EN

In this paper, a robust fault detection problem is investigated for a permanent magnet synchronous motor (PMSM).

By using the adaptive control and the sliding-mode control strategies, an observer is presented for estimating the amplitude demagnetization fault problem under inductance disturbance.

The proposed method can effectively attenuate the inductance disturbance of the PMSM by the sliding-mode strategy.

And the adaptive control estimation algorithm is adopted for guaranteeing that the real-time detection of demagnetization flux can be realized.

The convergency is obtained by the Lyapunov stability theory.

Finally, simulation is given for demonstrating the feasibility and effectiveness of the proposed method.

American Psychological Association (APA)

Zhang, Miaoying& Xiao, Fan& Shao, Rui& Deng, Zhaojun. 2020. Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1202183

Modern Language Association (MLA)

Zhang, Miaoying…[et al.]. Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer. Mathematical Problems in Engineering No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1202183

American Medical Association (AMA)

Zhang, Miaoying& Xiao, Fan& Shao, Rui& Deng, Zhaojun. Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1202183

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1202183