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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22626

Title: Position-offset-based parameter estimation using the adaline NN for condition monitoring of permanent-magnet synchronous machines
Authors: Liu, Kan
Zhu, Z.Q.
Keywords: Adaline neural network (NN)
Condition monitoring
Parameter estimation
Parameter identification
Permanent-magnet synchronous machine (PMSM)
Position offset
Rotor flux linkage
Stator winding resistance
Issue Date: 2015
Publisher: © IEEE
Citation: LIU, K. and ZHU, Z.Q., 2015. Position-offset-based parameter estimation using the adaline NN for condition monitoring of permanent-magnet synchronous machines. IEEE Transactions on Industrial Electronics, 62(4), pp. 2372-2383.
Abstract: This paper proposes how to use the addition of rotor position offsets as perturbation signals for the parameter estimation of permanent-magnet synchronous machines (PMSMs), which can be used for the condition monitoring of rotor permanent magnet and stator winding. During the proposed estimation, two small position offsets are intentionally added into the drive system, and the resulting voltage variation will be recorded for the estimation of rotor flux linkage. With the aid from estimated rotor flux linkage, the stator winding resistance can be subsequently estimated at steady state. This method is experimentally verified on two prototype PMSMs (150 W and 3 kW, respectively) and shows good performance in monitoring the variation of rotor flux linkage and winding resistance.
Description: This paper is in closed access.
Version: Accepted for publication
DOI: 10.1109/TIE.2014.2360145
URI: https://dspace.lboro.ac.uk/2134/22626
Publisher Link: http://dx.doi.org/10.1109/TIE.2014.2360145
ISSN: 0278-0046
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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