Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 196

The DOI matches its Crossref record.

Parameter Estimation for Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets

Open access
Liu, Kan, Zhu, Z. Q., Stone, David A.·2013·IEEE Transactions on Industrial Electronics

Abstract

Winding resistance and rotor flux linkage are important to controller design and condition monitoring of a surface-mounted permanent-magnet synchronous machine (PMSM) system. In this paper, an online method for simultaneously estimating the winding resistance and rotor flux linkage of a PMSM is proposed, which is suitable for application under constant load torque. It is based on a proposed full-rank reference/variable model. Under constant load torque, a short pulse ofid≠ 0 is transiently injected into thed-axis current, and two sets of machine rotor speeds, currents, and voltages corresponding toid= 0 andid≠ 0 are then measured for estimation. Since the torque is kept almost constant during the transient injection, owing to the moment of system inertia and negligible reluctance torque, the variation of rotor flux linkage due to injectedid≠ 0 can be taken into account by using the equation of constant torque without measuring the load torque and is then associated with the two sets of machine equations for simultaneously estimating the winding resistance and rotor flux linkage. Furthermore, the proposed method does not need the values of thedq-axis inductances, while the influence from the nonideal voltage measurement, which will cause an ill-conditioned problem in the estimation, has been taken into account and solved by error analysis. This method is finally verified on two prototype PMSMs and shows good performance.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tie.2013.2238874

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 196

Metadata

Authors
Liu, K., Zhu, Z. Q., & Stone, D. A.
Venue
IEEE Transactions on Industrial Electronics
Published
2013-12
Volume
60
Issue
12
Pages
5902-5913
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2001298233
Cited by
196
References
0
FWCI
7.79
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Parameter Estimation for Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets. https://app.cochat.ai/papers/10.1109/tie.2013.2238874
The paper
Liu, K., Zhu, Z. Q., & Stone, D. A. (2013). Parameter Estimation for Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2013.2238874

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.