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Azimi, M., Eghlimi Dezh, M., Alikhani, A. (2025). Active Fault-Tolerant Sliding Mode Control of Flexible Spacecraft Using Adaptive Observer Based on Radial Basis Functions Neural Network. Electronic and Cyber Defense, (), -.
Milad Azimi; Marzieh Eghlimi Dezh; Alireza Alikhani. "Active Fault-Tolerant Sliding Mode Control of Flexible Spacecraft Using Adaptive Observer Based on Radial Basis Functions Neural Network". Electronic and Cyber Defense, , , 2025, -.
Azimi, M., Eghlimi Dezh, M., Alikhani, A. (2025). 'Active Fault-Tolerant Sliding Mode Control of Flexible Spacecraft Using Adaptive Observer Based on Radial Basis Functions Neural Network', Electronic and Cyber Defense, (), pp. -.
Azimi, M., Eghlimi Dezh, M., Alikhani, A. Active Fault-Tolerant Sliding Mode Control of Flexible Spacecraft Using Adaptive Observer Based on Radial Basis Functions Neural Network. Electronic and Cyber Defense, 2025; (): -.

Active Fault-Tolerant Sliding Mode Control of Flexible Spacecraft Using Adaptive Observer Based on Radial Basis Functions Neural Network

مکانیک هوافضا
Articles in Press, Accepted Manuscript, Available Online from 16 January 2025
Document Type: Dynamics, Vibrations, and Control
Authors
Milad Azimi* 1; Marzieh Eghlimi Dezh2; Alireza Alikhani3
1Assistant professor, Astronautic department, Aerospace research institute (Ministry of science, research and technology)
2Aerospace research institute (ministry of science, research and technology)
3Aerospace Research Institute (Ministry of Science, Research and Technology)
Receive Date: 24 November 2024,  Revise Date: 01 January 2025,  Accept Date: 16 January 2025 
Abstract
This paper is focused on the design and analysis of a fault-tolerant sliding mode control algorithm together with an adaptive observer for applications to a flexible spacecraft in order to attenuate system uncertainties, actuator faults, and external disturbances. For estimation of the actuator faults, an adaptive observer is designed using a radial basis function neural network, whose performance is compared with an iterative learning observer. The proposed fault-tolerant control adopts a PID sliding surface for high performance, robustness, and fast response. Additionally, the vibration suppression control algorithm based on strain rate feedback was designed for active suppression of structural vibrations using piezoelectric actuators and sensors. Stability analysis of the closed-loop system is performed using the Lyapunov theorem to ensure its robust performance. A key feature of the proposed approach is its simplicity and its ability to stabilize the system under fault conditions while providing accurate actuator fault estimation with minimal computational burden. Simulations, presented as a comparative study, demonstrate the superior performance, robustness, and fault-tolerance of the proposed approach for a system with fully coupled rigid-flexible dynamics.
Keywords
Rigid-flexible dynamics; Radial basis function neural network; Sliding mode fault-tolerant control; Active vibration control; Flexible spacecraft; Adaptive actuator fault observer
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