The DOI matches its Crossref record.
A dead-beat adaptive hysteresis current control
Abstract
This paper proposes a new digital algorithm for the implementation of the fixed-frequency adaptive hysteresis current control for voltage-source inverters. The key features of the new algorithm are the minimization of the analog external circuitry, the capability to automatically compensate for the inverter deadtime effects without appreciable delay and a tight synchronization of the inverter voltage pulses with an external clock. The synchronization is actually inherent in the implemented algorithm and does not require additional control loops; the stability problems affecting all the solutions proposed so far are, therefore, avoided and a steady switching frequency is achieved. Even though the complexity of the algorithm is compatible with many conventional microcontrollers' performance level, the implementation with a commercial digital signal processor is considered in order to achieve ultrasonic operating frequency and to test the effectiveness of the solution in more demanding conditions.
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
High Performance Current Controller for Selective Harmonic Compensation in Active Power Filters
Lascu, C., Asiminoaei, L., Boldea, I., & Blaabjerg, F. (2007) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2007.904060 · Cited by 521
Lascu, C., Asiminoaei, L., Boldea, I., & Blaabjerg, F. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2006953 · Cited by 337
Rosso, R., Engelken, S., & Liserre, M. (2021) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2021.3095025 · Cited by 126
Metadata
- Authors
- Buso, S., Fasolo, S., Malesani, L., & Mattavelli, P.
- Venue
- IEEE Transactions on Industry Applications
- Published
- 2000
- Volume
- 36
- Issue
- 4
- Pages
- 1174-1180
- ISSN
- 0093-9994 (ISSN-L)
- OpenAlex
- W4231928483
- Cited by
- 183
- References
- 0
- FWCI
- 1.73
- 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: A dead-beat adaptive hysteresis current control. https://app.cochat.ai/papers/10.1109/28.855976
- The paper
- Buso, S., Fasolo, S., Malesani, L., & Mattavelli, P. (2000). A dead-beat adaptive hysteresis current control. IEEE Transactions on Industry Applications. https://doi.org/10.1109/28.855976
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.