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Title: Online multiparameter estimation of nonsalient-pole PM synchronous machines with temperature variation tracking
Authors: Liu, Kan
Zhang, Qiao
Chen, Jintao
Zhu, Z.Q.
Zhang, Jing
Keywords: Adaline
Identification
Parameter estimation
Permanent-magnet synchronous machines (PMSMs)
Rotor flux linkage
Stator winding resistance
Temperature
Issue Date: 2011
Publisher: © IEEE
Citation: LIU, K. ...et al., 2011. Online multiparameter estimation of nonsalient-pole PM synchronous machines with temperature variation tracking. IEEE Transactions on Industrial Electronics, 58(5), pp. 1776-1788.
Abstract: The ill-convergence of multiparameter estimation due to the rank-deficient state equations of permanent-magnet synchronous machines (PMSMs) is investigated. It is verified that the PMSM model for multiparameter estimation under id = 0 control is rank deficient for simultaneously estimating winding resistance, rotor flux linkage, and winding inductance and cannot ensure them to converge to the correct parameter values. A new method is proposed based on injecting a short pulse of negative id current and simultaneously solving two sets of simplified PMSM state equations corresponding to id = 0 and id ≠ 0 by using an Adaline neural network. The convergence of solutions is ensured, while the minimum |i d| is determined from the error analysis for nonsalient-pole PMSMs. The proposed method does not need the nominal value of any parameter and only needs to sample the winding terminal currents and voltages, and the rotor speed for simultaneously estimating the dq-axis inductances, the winding resistance, and the rotor flux linkage in nonsalient-pole PMSMs. Compared with existing methods, the proposed method can eliminate the estimation error caused by the variation of rotor flux linkage and inductance as a result of state change due to the injected d-axis current in the surface-mounted PMSM. The method is verified by experiments, and the results show that the proposed method has negligible influence on output torque and rotor speed and has good performance in tracking the variation of PMSM parameters due to temperature variation. © 2010 IEEE.
Description: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/TIE.2010.2054055
URI: https://dspace.lboro.ac.uk/2134/25041
Publisher Link: http://dx.doi.org/10.1109/TIE.2010.2054055
ISSN: 0278-0046
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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