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Determination of PM Flux Linkage Based on Minimum Saliency Tracking for PM-SyR Machines Without Rotor Movement.

Authors :
Pescetto, Paolo
Pellegrino, Gianmario
Source :
IEEE Transactions on Industry Applications. Sep-Oct2020, Vol. 56 Issue 5, p4924-4933. 10p.
Publication Year :
2020

Abstract

Permanent magnet assisted synchronous reluctance (PM-SyR) motors often present relevant magnetic saturation, especially if overload capability is exploited. The knowledge of current-to-flux relationship is mandatory for proper motor control, and it becomes even more critical in the case of sensorless applications. Reliable standstill self-commissioning tests have been recently developed for synchronous reluctance (SyR) motors without producing rotor movement. This procedure can be extended to PM-SyR motors, but being at standstill, it does not retrieve the flux contribution related to the permanent magnets (PMs). This article integrates the identification of the flux characteristics including a novel test for estimating the PM flux linkage, obtaining the complete magnetic characteristic of the PM-SyR motor. The identification session is performed at standstill and without a position transducer, independently of the mechanical load being connected or not. Such conditions are considered the most demanding for self-commissioning tests. The machine is first excited with a proper sequence of bipolar high voltage pulses to determine its current-dependent flux components. Then, the estimate of PM flux linkage is retrieved at standstill by evaluating the local saliency along the negative q-axis. The proposed method is supported by detailed finite element analysis and experimentally verified on two PM-SyR motor prototypes, confirming the accuracy of the PM flux linkage estimate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00939994
Volume :
56
Issue :
5
Database :
Academic Search Index
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
146012412
Full Text :
https://doi.org/10.1109/TIA.2020.3000710