The DOI matches its Crossref record.
Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey
Open accessAbstract
This paper gives a comprehensive overview on disturbance/uncertainty estimation and attenuation (DUEA) techniques in permanent-magnet synchronous motor (PMSM) drives. Various disturbances and uncertainties in PMSM and also other alternating current (ac) motor drives are first reviewed which shows they have different behaviors and appear in different control loops of the system. The existing DUEA and other relevant control methods in handling disturbances and uncertainties widely used in PMSM drives, and their latest developments are then discussed and summarized. It also provides in-depth analysis of the relationship between these advanced control methods in the context of PMSM systems. When dealing with uncertainties, it is shown that DUEA has a different but complementary mechanism to widely used robust control and adaptive control. The similarities and differences in disturbance attenuation of DUEA and other promising methods such as internal model control and output regulation theory have been analyzed in detail. The wide applications of these methods in different ac motor drives (in particular in PMSM drives) are categorized and summarized. Finally, the paper ends with the discussion on future directions in this area.
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.
Integrity signals
Registry
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.
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
Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles
Ding, S., Liu, L., & Zheng, W. X. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2682024 · Cited by 414
Rafaq, M. S., & Jung, J.-W. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2944413 · Cited by 266
Yang, C., Song, B., Xie, Y., Zheng, S., & Tang, X. (2023) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2023.3239609 · Cited by 37
Metadata
- Authors
- Yang, J., Chen, W.-H., Li, S., Guo, L., & Yan, Y.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2017-04
- Volume
- 64
- Issue
- 4
- Pages
- 3273-3285
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2460221038
- Cited by
- 695
- References
- 0
- FWCI
- 23.02
- 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: Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey. https://app.cochat.ai/papers/10.1109/tie.2016.2583412
- The paper
- Yang, J., Chen, W.-H., Li, S., Guo, L., & Yan, Y. (2017). Disturbance/Uncertainty Estimation and Attenuation Techniques in PMSM Drives—A Survey. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2016.2583412
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.