Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network
Abstract This paper investigates the prescribed performance fault‐tolerant attitude tracking control for flexible spacecraft under limited communication network, where the controller and the actuator are connected via wireless network. The hysteresis quantizer is employed to quantize the control sig...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
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| Series: | IET Control Theory & Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cth2.12493 |
| _version_ | 1797782536734113792 |
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| author | Ming Liu Qiuhong Liu Chengfei Yue Huayi Li |
| author_facet | Ming Liu Qiuhong Liu Chengfei Yue Huayi Li |
| author_sort | Ming Liu |
| collection | DOAJ |
| description | Abstract This paper investigates the prescribed performance fault‐tolerant attitude tracking control for flexible spacecraft under limited communication network, where the controller and the actuator are connected via wireless network. The hysteresis quantizer is employed to quantize the control signal, which can reduce the communication burden of the network onboard. First, a novel iterative learning observer is developed by combining with neural‐network approximation method to reconstruct the actuator faults and estimate the unmeasurable nonlinear rigid‐flexible dynamics simultaneously. Then, the signal quantization technique is introduced for control command quantization, and the concerned parametric quantization error is given. Based on the learning observer output, prescribed performance design procedure, and a quantization error compensation method, an active fault‐tolerant control strategy is developed for flexible spacecraft attitude tracking to deal with actuator faults, unmeasurable system nonlinearity, quantization errors, and external disturbances. The stability analysis of the closed‐loop system proves that the quantization errors, modal vibrations, disturbances can be effectively rejected, moreover, the convergence of the transformed performance states and angular velocity states can be guaranteed, which achieves the tracking problem with predetermined transient‐state and steady‐state performance requirements. Finally, a numerical simulation is conducted to illustrate the validness of the proposed control strategy. |
| first_indexed | 2024-03-13T00:12:19Z |
| format | Article |
| id | doaj.art-25b48d40874c4c27a5a2ab79a7dc7325 |
| institution | Directory Open Access Journal |
| issn | 1751-8644 1751-8652 |
| language | English |
| last_indexed | 2024-03-13T00:12:19Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Control Theory & Applications |
| spelling | doaj.art-25b48d40874c4c27a5a2ab79a7dc73252023-07-12T10:20:00ZengWileyIET Control Theory & Applications1751-86441751-86522023-07-0117111566157710.1049/cth2.12493Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication networkMing Liu0Qiuhong Liu1Chengfei Yue2Huayi Li3Harbin Institute of Technology Harbin ChinaHarbin Institute of Technology Harbin ChinaThe Institute of Space Science and Applied Technology Harbin Institute of Technology Shenzhen ChinaHarbin Institute of Technology Harbin ChinaAbstract This paper investigates the prescribed performance fault‐tolerant attitude tracking control for flexible spacecraft under limited communication network, where the controller and the actuator are connected via wireless network. The hysteresis quantizer is employed to quantize the control signal, which can reduce the communication burden of the network onboard. First, a novel iterative learning observer is developed by combining with neural‐network approximation method to reconstruct the actuator faults and estimate the unmeasurable nonlinear rigid‐flexible dynamics simultaneously. Then, the signal quantization technique is introduced for control command quantization, and the concerned parametric quantization error is given. Based on the learning observer output, prescribed performance design procedure, and a quantization error compensation method, an active fault‐tolerant control strategy is developed for flexible spacecraft attitude tracking to deal with actuator faults, unmeasurable system nonlinearity, quantization errors, and external disturbances. The stability analysis of the closed‐loop system proves that the quantization errors, modal vibrations, disturbances can be effectively rejected, moreover, the convergence of the transformed performance states and angular velocity states can be guaranteed, which achieves the tracking problem with predetermined transient‐state and steady‐state performance requirements. Finally, a numerical simulation is conducted to illustrate the validness of the proposed control strategy.https://doi.org/10.1049/cth2.12493attitude controlfault tolerant controliterative learning controlneural nets |
| spellingShingle | Ming Liu Qiuhong Liu Chengfei Yue Huayi Li Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network IET Control Theory & Applications attitude control fault tolerant control iterative learning control neural nets |
| title | Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network |
| title_full | Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network |
| title_fullStr | Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network |
| title_full_unstemmed | Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network |
| title_short | Prescribed performance fault‐tolerant attitude control for flexible spacecraft under limited communication network |
| title_sort | prescribed performance fault tolerant attitude control for flexible spacecraft under limited communication network |
| topic | attitude control fault tolerant control iterative learning control neural nets |
| url | https://doi.org/10.1049/cth2.12493 |
| work_keys_str_mv | AT mingliu prescribedperformancefaulttolerantattitudecontrolforflexiblespacecraftunderlimitedcommunicationnetwork AT qiuhongliu prescribedperformancefaulttolerantattitudecontrolforflexiblespacecraftunderlimitedcommunicationnetwork AT chengfeiyue prescribedperformancefaulttolerantattitudecontrolforflexiblespacecraftunderlimitedcommunicationnetwork AT huayili prescribedperformancefaulttolerantattitudecontrolforflexiblespacecraftunderlimitedcommunicationnetwork |