The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Direct Torque Control of Permanent Magnet Synchronous Motor With Reduced Torque Ripple and Commutation Frequency
Abstract
In conventional direct torque controlled (DTC) permanent magnet synchronous motor drive, there is usually undesired torque and flux ripple. The existing literature have proposed some methods to reduce torque and flux ripple by optimizing the duty ratio of the active vector. However, these methods are usually complicated and parameter dependent. This paper first compares the performances of three duty determination methods in detail and then proposes a very simple but effective method to obtain the duty ratio. The novel method is superior to the existing methods in terms of simplicity and robustness. By appropriately arranging the sequence of the vectors, the commutation frequency is reduced effectively without performance degradation. To further improve the performance of system, a low-pass filter-based voltage model with compensations of amplitude and phase is employed to acquire accurate stator flux estimation. The proposed scheme is able to reduce the torque and flux ripple significantly while maintaining the simplicity and robustness of conventional DTC at the most. Simulations and presented experimental results validate the effectiveness of the proposed schemes in this paper.
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
Cites
Foo, G., & Rahman, M. F. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2030815 · Cited by 198
Cited by
An Improved Direct Torque Control for Three-Level Inverter-Fed Induction Motor Sensorless Drive
Zhang, Y., Zhu, J., Zhao, Z., Xu, W., & Dorrell, D. G. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2010.2043543 · Cited by 279
Self-citation
Metadata
- Authors
- Zhang, Y., & Zhu, J.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2011-01
- Volume
- 26
- Issue
- 1
- Pages
- 235-248
- ISSN
- 0885-8993 (ISSN-L)
- 1941-0107
- OpenAlex
- W2014585456
- Cited by
- 389
- References
- 1
- FWCI
- 13.21
- 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: Direct Torque Control of Permanent Magnet Synchronous Motor With Reduced Torque Ripple and Commutation Frequency. https://app.cochat.ai/papers/10.1109/tpel.2010.2059047
- The paper
- Zhang, Y., & Zhu, J. (2011). Direct Torque Control of Permanent Magnet Synchronous Motor With Reduced Torque Ripple and Commutation Frequency. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2010.2059047
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.