Magnet temperature estimation based on a novel frequency determination algorithm for the five‐phase PMa‐SynRM. Issue 3 (16th January 2020)

• Record Type: Journal Article
• Authors: Arafat, AKM; Islam, Md Khurshedul; Herbert, Joseph; Choi, Seungdeog
• Is Part Of: IET electric power applications. Volume 14:Issue 3(2020)
• Page Start: 357
• Page End: 366
• Publication Date: 2020-01-16
• Subjects: reluctance motors -- permanent magnet motors -- fault diagnosis -- estimation theory; signal injection method -- permanent magnet motors -- magnet resistance -- adaptive frequency determination method -- frequency spectrum -- fundamental fault frequencies -- signal‐to‐noise ratio constraints -- temperature estimation algorithm -- frequency determination algorithm -- five‐phase PMa‐SynRM -- five‐phase permanent magnet assisted synchronous reluctance motor -- magnet temperature estimation tool -- magnet temperature data transmission; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2019.0057
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : This study presents a novel frequency determination algorithm for the magnet temperature estimation of a five‐phase permanent magnet assisted synchronous reluctance motor (PMa‐SynRM) using the signal injection method. The signal injection method is a convenient and non‐invasive approach to determine the magnet temperature in permanent magnet motors by exploiting the temperature dependency of magnet resistance. However, its implementation as a magnet temperature estimation tool warrants an adaptive frequency determination method in order to ensure its effective employability under more pragmatic dynamic operations. The proposed method in this study proposes an analysis of the frequency spectrum to isolate the fundamental and fault frequencies and their respective harmonics to determine a range of available frequencies that may be employed in this method. The available frequencies are further concentrated based on the signal‐to‐noise ratio constraints. As an additional part of the contribution of this study, an innovative rotating hardware set‐up is developed which would transmit the magnet temperature data wirelessly to verify the accuracy of the proposed temperature estimation algorithm.