Condition monitoring approach for permanent magnet synchronous motor drives based on the INFORM method. Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Arellano‐Padilla, Jesus; Sumner, Mark; Gerada, Chris
• Is Part Of: IET electric power applications. Volume 10:Issue 1(2016)
• Page Start: 54
• Page End: 62
• Publication Date: 2016-01-01
• Subjects: permanent magnet motors -- synchronous motor drives -- condition monitoring -- fault diagnosis -- machine windings; condition monitoring approach -- permanent magnet synchronous motor drives -- INFORM method -- saliency tracking -- health condition -- nonstationary conditions -- sensorless control -- fault detection -- standstill operation -- inverter nonlinearities -- detection capabilities -- incipient winding faults -- inter‐turn short circuits; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2015.0148
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : This study proposes a monitoring scheme based on saliency tracking to assess the health condition of permanent magnet synchronous motor drives operating under non‐stationary conditions. The evaluated scheme is based on the INFORM methodology, which is associated to the accurate sensorless control of PM drives without zero speed limitation. The result is a monitoring scheme that is able to detect faults that would be very difficult to evaluate under non‐stationary conditions. A relevant aspect of the proposed scheme is that it remains valid for full speed range, and can be used for standstill operation. In addition, the approach is insensitive to the inverter non‐linearities which enhance the detection capabilities further respect to similar topologies. In this study the proposed approach is evaluated numerically and experimentally in the presence of incipient winding faults and inter‐turn short circuits in a PM conventional drive. The obtained results show quick response and excellent detection capabilities not only in the detection of faults, but to determine their magnitude which is vital to avoid further degradation.