Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 725

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Nonlinear Speed Control for PMSM System Using Sliding-Mode Control and Disturbance Compensation Techniques

Zhang, Xiaoguang, Sun, Lizhi, Zhao, Ke, Sun, Li·2013·IEEE Transactions on Power Electronics

Abstract

In order to optimize the speed-control performance of the permanent-magnet synchronous motor (PMSM) system with different disturbances and uncertainties, a nonlinear speed-control algorithm for the PMSM servo systems using sliding-mode control and disturbance compensation techniques is developed in this paper. First, a sliding-mode control method based on one novel sliding-mode reaching law (SMRL) is presented. This SMRL can dynamically adapt to the variations of the controlled system, which allows chattering reduction on control input while maintaining high tracking performance of the controller. Then, an extended sliding-mode disturbance observer is proposed to estimate lumped uncertainties directly, to compensate strong disturbances and achieve high servo precisions. Simulation and experimental results both show the validity of the proposed control approach.

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/tpel.2012.2206610

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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 725

Metadata

Authors
Zhang, X., Sun, L., Zhao, K., & Sun, L.
Venue
IEEE Transactions on Power Electronics
Published
2013-03
Volume
28
Issue
3
Pages
1358-1365
ISSN
  • 0885-8993 (ISSN-L)
  • 1941-0107
OpenAlex
W2142641620
Cited by
725
References
1
FWCI
12.82
Type
journal article
Language
en
Open access
closed

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: Nonlinear Speed Control for PMSM System Using Sliding-Mode Control and Disturbance Compensation Techniques. https://app.cochat.ai/papers/10.1109/tpel.2012.2206610
The paper
Zhang, X., Sun, L., Zhao, K., & Sun, L. (2013). Nonlinear Speed Control for PMSM System Using Sliding-Mode Control and Disturbance Compensation Techniques. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2012.2206610

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.