Model-based fault detection and isolation algorithm of current sensor for IPMSM
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Byunghwan | - |
dc.contributor.author | Jeon, Namju | - |
dc.contributor.author | Lee, Hyeongcheol | - |
dc.date.accessioned | 2022-07-16T12:17:38Z | - |
dc.date.available | 2022-07-16T12:17:38Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2012-12 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164010 | - |
dc.description.abstract | The purpose of this paper is to detect and isolate faults of current sensors for the interior permanent magnet synchronous motor(IPMSM) through the model-based approach. The model-based fault detection and isolation(FDI) is conducted by the parity space approach. This method detects faults from the analytical redundancy generated from the mathematical system model. Based on the mathematical model and the input and output signals, the residual is generated. Once the residual is generated and evaluated, it should be then compared with the limit value which is called the time varying adaptive thresholds. The FDI algorithm for the IPMSM is proposed. Before verifying FDI algorithm, the types of current sensor faults are introduced. For getting the simulation results of the proposed FDI algorithm, the IPMSM model is developed by using MATLAB/Simulink environment. Simulation results show the validity and performance of the proposed algorithm. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Model-based fault detection and isolation algorithm of current sensor for IPMSM | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Hyeongcheol | - |
dc.identifier.doi | 10.1109/IECON.2012.6389529 | - |
dc.identifier.scopusid | 2-s2.0-84872905903 | - |
dc.identifier.bibliographicCitation | IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, pp.5376 - 5381 | - |
dc.relation.isPartOf | IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society | - |
dc.citation.title | IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society | - |
dc.citation.startPage | 5376 | - |
dc.citation.endPage | 5381 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Adaptive thresholds | - |
dc.subject.keywordPlus | Analytical redundancy | - |
dc.subject.keywordPlus | Current sensors | - |
dc.subject.keywordPlus | Input and outputs | - |
dc.subject.keywordPlus | Interior permanent magnet synchronous motor | - |
dc.subject.keywordPlus | Limit values | - |
dc.subject.keywordPlus | Mathematical system model | - |
dc.subject.keywordPlus | MATLAB/Simulink environment | - |
dc.subject.keywordPlus | Model based approach | - |
dc.subject.keywordPlus | Model-based fault detection | - |
dc.subject.keywordPlus | Parity space approach | - |
dc.subject.keywordPlus | Time varying | - |
dc.subject.keywordPlus | Algorithms | - |
dc.subject.keywordPlus | Fault detection | - |
dc.subject.keywordPlus | Industrial electronics | - |
dc.subject.keywordPlus | Permanent magnets | - |
dc.subject.keywordPlus | Sensors | - |
dc.subject.keywordPlus | Synchronous motors | - |
dc.subject.keywordPlus | Mathematical models | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6389529 | - |
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