Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115558
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorWang, L-
dc.creatorMiao, H-
dc.date.accessioned2025-10-08T01:16:23Z-
dc.date.available2025-10-08T01:16:23Z-
dc.identifier.issn1598-2092-
dc.identifier.urihttp://hdl.handle.net/10397/115558-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2025en_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Wang, L., Miao, H. Novel adaptive extended state observer method of active disturbance rejection control for sensorless IPMSMs based on high-frequency square wave injection. J. Power Electron. (2025) is available at https://doi.org/10.1007/s43236-025-01085-3.en_US
dc.subjectADRCen_US
dc.subjectAESOen_US
dc.subjectHigh-frequency square-wave injectionen_US
dc.subjectIPMSMen_US
dc.subjectPosition sensorless controlen_US
dc.titleNovel adaptive extended state observer method of active disturbance rejection control for sensorless IPMSMs based on high-frequency square wave injectionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/s43236-025-01085-3-
dcterms.abstractThe sensorless control method for built-in interior permanent magnet synchronous motors (IPMSMs) based on high-frequency square-wave (HF) injection is being increasingly applied in electric vehicles due to its compact size and low cost. However, sensorless IPMSMs have weak anti-interference capability and poor dynamic performance, especially at low speeds. A novel adaptive extended state observer (AESO) for the active disturbance rejection control (ADRC) of a sensorless IPMSM with HF square-wave injection is proposed. First, HF square-wave signals are injected into the estimated rotational coordinate system of the IPMSM, and the rotor position estimation error is obtained through signal response extraction and processing. Then, a novel AESO-based ADRC (AESO_ADRC) is designed to replace the traditional PI controller in the speed loop. The characteristics of the AESO are obtained by allocating time-varying eigenvalues based on the differential algebraic spectrum theory (DAST) of the estimation errors of the rotor position, speed, and total disturbances to reduce the disturbance of the state estimation error and the total disturbance. Simulation and experimental results demonstrate that the stabilization time of the AESO_ADRC method is the shortest under sudden changes in load and speed, with nearly zero overshoot. These results indicate that the AESO_ADRC method has good dynamic performance and strong anti-interference capability. Moreover, the method performs well at low speeds of 10 r/min, and the rotor position estimation error is minimum.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of power electronics, Published: 24 June 2025, Online first articles, https://doi.org/10.1007/s43236-025-01085-3-
dcterms.isPartOfJournal of power electronics-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105008879201-
dc.identifier.eissn2093-4718-
dc.description.validate202510 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work of Hong MIAO was funded by Sichuan Science and Technology Program, under Grant No. 2023YFG0198.en_US
dc.description.pubStatusEarly releaseen_US
dc.description.TASpringer Nature (2025)en_US
dc.description.oaCategoryTAen_US
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