This paper addresses the problems of observerbased fault reconstruction and fault-tolerant control for TakagiSugeno fuzzy descriptor systems subject to time delays and external disturbances. A novel fuzzy descriptor learning observer is constructed to achieve simultaneous reconstruction of system states and actuator faults. Sufficient conditions for existence of the proposed observer are explicitly provided. Utilizing the reconstructed fault information, a reconfigurable fuzzy faulttolerant controller based on the separation property is designed to compensate for the impact of actuator faults on system performance by stabilizing the closed-loop system. In addition, the design of the fault reconstruction observer and the fault-tolerant controller is formulated in terms of linear matrix inequalities that can be conveniently solved using convex optimization techniques. At last, simulation results on a truck trailer system are presented to verify the effectiveness of the proposed approaches.
This paper addresses the problem of learning observer (LO)‐based fault reconstruction in continuous‐time systems. An LO is constructed such that simultaneous reconstruction of system states and actuator faults can be guaranteed. Then, existence conditions of LOs are first introduced to verify whether or not the LOs for fault reconstruction exist. An effective LO‐design algorithm is explored such that observer gain matrices can be conveniently solved using linear matrix inequality technique. An extension to sensor‐fault reconstruction is also investigated. Finally, two simulation examples are employed to demonstrate the effectiveness of the proposed LO‐based fault‐reconstructing approaches.
Purpose
The purpose of this paper is to achieve fault reconstruction for reaction wheels in spacecraft attitude control systems (ACSs) subject to space disturbance torques.
Design/methodology/approach
Considering the influence of rotating reaction wheels on spacecraft attitude dynamics, a novel non-linear learning observer is suggested to robustly reconstruct the loss of reaction wheel effectiveness faults, and its stability is proven using Lyapunov’s indirect method. Further, an extension of the proposed approach to bias faults reconstruction for reaction wheels in spacecraft ACSs is performed.
Findings
The numerical example and simulation demonstrate the effectiveness of the proposed fault-reconstructing methods.
Practical implications
This paper includes implications for the development of reliability and survivability of on-orbit spacecrafts.
Originality/value
This paper proposes a novel non-linear learning observer-based reaction wheels fault reconstruction for spacecraft ACSs.
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