Demagnetization Fault Detection for Five-Phase IPMSM Through Integral Terminal Sliding Mode Flux-Linkage Observer

ABSTRACT

This research deals with robust demagnetization fault detection for five-phase interior permanent magnet synchronous motors (IPMSM) for the first time. To estimate the rotor flux linkage, two novel integral terminal sliding mode observers are proposed. The first observer utilizes a fractional integral terminal sliding surface and the second one uses a sign integral terminal sliding surface. These observers are designed based on the error of stator d1-q1 currents generated from their measured and estimated values. Practical stability of the proposed observers is demonstrated using Lyapunov stability theory. Comparative simulations validate the feasibility and effectiveness of the proposed ITSM observers on a five-phase IPMSM.

KEYWORDS:

• Demagnetization fault
• Five-phase IPMSM
• Flux linkage
• ITSMO
• SMC

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Y. Zafari

Yaser Zafari received his BS degree in control engineering from Sahand University of Technology in 2005 and MS degree in control engineering from Iran University of Science & Technology in 2008. He is currently pursuing a PhD degree in control engineering in The Islamic Azad University, South Tehran Branch.

E-mail: [email protected]

A.H. Mazinan

A H Mazinan received the PhD degree in 2009 in Control Engineering. Dr Mazinan is the associate professor and also the director of Control Engineering Department at Islamic Azad University, South Tehran Branch, Tehran, Iran, since 2009. He is now acting as the associate editor in Transactions of the Institute of Measurement and Control (Sage publisher) and the guest editor in Computers & Electrical Engineering Journal (Elsevier Publisher), as well. Moreover, he is a member of Editorial Board in three international journals and also a member of programming committee in four international conferences. Dr Mazinan has more than 120 journal and conference papers in so many reputable publishers. His current research interests include intelligent systems, model based predictive control, over-actuated space systems modeling and control, time–frequency representation, filter banks, wavelet theory, and image–video processing.

S. Shoja-Majidabad

Sajjad Shoja-Majidabad received his BSc degree from Sahand University of Technology, Tabriz, Iran, in 2008, MSc and PhD degrees in electrical engineering from the Shahrood University of Technology, Shahrood, Iran, in 2010 and 2014. Currently, he is an assistant professor in the Faculty of Electrical Engineering at the University of Bonab. His research interests include nonlinear robust control, fractional-order control, large-scale system control, power converters and microgrid control.

E-mail: [email protected]