The nonlinear observer-based fault diagnosis method for the high altitude airship
We investigated an observer-based fault diagnosis method for the high altitude airship (HAA). The nonlinear kinematics and dynamics model, which considers model uncertainties and external disturbances, were obtained. The nonliear portion of the model was re-expressed to the linear parameter varying...
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| Format: | Article |
| Language: | English |
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AIMS Press
2025-02-01
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| Series: | Electronic Research Archive |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2025041 |
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| _version_ | 1850151298780889088 |
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| author | Jichen Hu Ming Zhu Tian Chen |
| author_facet | Jichen Hu Ming Zhu Tian Chen |
| author_sort | Jichen Hu |
| collection | DOAJ |
| description | We investigated an observer-based fault diagnosis method for the high altitude airship (HAA). The nonlinear kinematics and dynamics model, which considers model uncertainties and external disturbances, were obtained. The nonliear portion of the model was re-expressed to the linear parameter varying frame mathematically with an auxiliary design. Subsequently, in order to realize fault detection, isolation, and reconstruction, diverse types of robust were observers designed, respectively. Furthermore, all these mentioned observers were achieved via the linear matrix inequation framework. The effectiveness of the proposed method was verified by different fault cases in an HAA simulation system. |
| format | Article |
| id | doaj-art-50636a4be2644da6a3ca57d086bba4eb |
| institution | OA Journals |
| issn | 2688-1594 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Electronic Research Archive |
| spelling | doaj-art-50636a4be2644da6a3ca57d086bba4eb2025-08-20T02:26:19ZengAIMS PressElectronic Research Archive2688-15942025-02-0133290793010.3934/era.2025041The nonlinear observer-based fault diagnosis method for the high altitude airshipJichen Hu0Ming Zhu1Tian Chen2School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, ChinaInstitute of Unmanned System, Beihang University, Beijing 100191, ChinaInstitute of Unmanned System, Beihang University, Beijing 100191, ChinaWe investigated an observer-based fault diagnosis method for the high altitude airship (HAA). The nonlinear kinematics and dynamics model, which considers model uncertainties and external disturbances, were obtained. The nonliear portion of the model was re-expressed to the linear parameter varying frame mathematically with an auxiliary design. Subsequently, in order to realize fault detection, isolation, and reconstruction, diverse types of robust were observers designed, respectively. Furthermore, all these mentioned observers were achieved via the linear matrix inequation framework. The effectiveness of the proposed method was verified by different fault cases in an HAA simulation system.https://www.aimspress.com/article/doi/10.3934/era.2025041the high altitude airshipfault diagnosisnonlinear systemrobust observerlinear parameter varying |
| spellingShingle | Jichen Hu Ming Zhu Tian Chen The nonlinear observer-based fault diagnosis method for the high altitude airship Electronic Research Archive the high altitude airship fault diagnosis nonlinear system robust observer linear parameter varying |
| title | The nonlinear observer-based fault diagnosis method for the high altitude airship |
| title_full | The nonlinear observer-based fault diagnosis method for the high altitude airship |
| title_fullStr | The nonlinear observer-based fault diagnosis method for the high altitude airship |
| title_full_unstemmed | The nonlinear observer-based fault diagnosis method for the high altitude airship |
| title_short | The nonlinear observer-based fault diagnosis method for the high altitude airship |
| title_sort | nonlinear observer based fault diagnosis method for the high altitude airship |
| topic | the high altitude airship fault diagnosis nonlinear system robust observer linear parameter varying |
| url | https://www.aimspress.com/article/doi/10.3934/era.2025041 |
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