Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints
Abstract This paper proposes an adaptive output feedback full state constrain (FSC) controller based on the adaptive neural disturbance observer (ANDO) for a nonlinear electro-hydraulic system (NEHS) with unmodeled dynamics. The Barrier Lyapunov Functions (BLFs) are utilized to ensure that all state...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86583-x |
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| author | Van Du Phan Hoai Vu Anh Truong Van Chuong Le Sy Phuong Ho Kyoung Kwan Ahn |
| author_facet | Van Du Phan Hoai Vu Anh Truong Van Chuong Le Sy Phuong Ho Kyoung Kwan Ahn |
| author_sort | Van Du Phan |
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| description | Abstract This paper proposes an adaptive output feedback full state constrain (FSC) controller based on the adaptive neural disturbance observer (ANDO) for a nonlinear electro-hydraulic system (NEHS) with unmodeled dynamics. The Barrier Lyapunov Functions (BLFs) are utilized to ensure that all states of the system are specified within the constraints, and the approximation ability of radial basis function neural networks (RBFNNs) is used to cope with the unknown nonlinear functions. An adaptive neural compensation disturbance observer is elaborated to estimate the compound disturbance and oil leakage fault, effectively addressing these negative effects. Subsequently, observer-based output feedback command filter scheme is developed to diminish the explosion of complexity in the taking derivative procedure and obtain high precise tracking performance. The convergence of tracking errors into a small region around the equilibrium is demonstrated by the Lyapunov stability theory. Ultimately, simulation, experiment, and comparative studies are provided to further validate the effectiveness of the proposed control approach. |
| format | Article |
| id | doaj-art-a7e7f76d62ef47aba655be27bc8c7c9c |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-a7e7f76d62ef47aba655be27bc8c7c9c2025-01-26T12:27:43ZengNature PortfolioScientific Reports2045-23222025-01-0115111810.1038/s41598-025-86583-xAdaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraintsVan Du Phan0Hoai Vu Anh Truong1Van Chuong Le2Sy Phuong Ho3Kyoung Kwan Ahn4School of Engineering and Technology, Vinh UniversityDepartment of Mechanical Engineering, Ulsan National Institute of Science and TechnologySchool of Engineering and Technology, Vinh UniversitySchool of Engineering and Technology, Vinh UniversitySchool of Mechanical Engineering, University of UlsanAbstract This paper proposes an adaptive output feedback full state constrain (FSC) controller based on the adaptive neural disturbance observer (ANDO) for a nonlinear electro-hydraulic system (NEHS) with unmodeled dynamics. The Barrier Lyapunov Functions (BLFs) are utilized to ensure that all states of the system are specified within the constraints, and the approximation ability of radial basis function neural networks (RBFNNs) is used to cope with the unknown nonlinear functions. An adaptive neural compensation disturbance observer is elaborated to estimate the compound disturbance and oil leakage fault, effectively addressing these negative effects. Subsequently, observer-based output feedback command filter scheme is developed to diminish the explosion of complexity in the taking derivative procedure and obtain high precise tracking performance. The convergence of tracking errors into a small region around the equilibrium is demonstrated by the Lyapunov stability theory. Ultimately, simulation, experiment, and comparative studies are provided to further validate the effectiveness of the proposed control approach.https://doi.org/10.1038/s41598-025-86583-xOil leakage faultNeural networkCommand-filteredDisturbance observerFull state constraint |
| spellingShingle | Van Du Phan Hoai Vu Anh Truong Van Chuong Le Sy Phuong Ho Kyoung Kwan Ahn Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints Scientific Reports Oil leakage fault Neural network Command-filtered Disturbance observer Full state constraint |
| title | Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints |
| title_full | Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints |
| title_fullStr | Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints |
| title_full_unstemmed | Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints |
| title_short | Adaptive neural observer-based output feedback anti-actuator fault control of a nonlinear electro-hydraulic system with full state constraints |
| title_sort | adaptive neural observer based output feedback anti actuator fault control of a nonlinear electro hydraulic system with full state constraints |
| topic | Oil leakage fault Neural network Command-filtered Disturbance observer Full state constraint |
| url | https://doi.org/10.1038/s41598-025-86583-x |
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