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Position offset-based parameter estimation for permanent magnet synchronous machines under variable speed control

journal contribution
posted on 30.09.2016 by Kan Liu, Zi-Qiang Zhu
Aposition offset-based multiparameter estimation for permanent magnet synchronous machines (PMSMs) under variable speed control is proposed in this paper, which does not need the aid from nominal parameter values of the PMSM and could estimate the rotor permanent magnet (PM) flux linkage and winding resistance separately. For the estimation of rotor PM flux linkage, two sets of PMSM data corresponding to two position offsets are measured while the dq-axis reference currents are set to constants so as to ensure that the estimated machine parameters will not vary during the data measurement. Afterwards, the winding resistance will be estimated from measured PMSM data without addition of position offsets, in which the estimation and compensation of distorted voltage due to inverter nonlinearity are also taken into account. The conventional quantum genetic algorithm is used for aiding the calculation of proposed estimation,which is finally tested on an interior PMSM and shows very good performance in the estimation of rotor PM flux linkage and winding resistance. Thus, it could be used for the condition monitoring of stator winding and rotor PMs of PMSMs.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Power Electronics

Volume

30

Issue

6

Pages

3438 - 3446

Citation

LIU, K. and ZHU, Z.Q., 2015. Position offset-based parameter estimation for permanent magnet synchronous machines under variable speed control. IEEE Transactions on Power Electronics, 30(6), pp. 3438-3446.

Publisher

© IEEE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This paper is in closed access.

ISSN

0885-8993

eISSN

1941-0107

Language

en

Exports