An Active Fault-Tolerant Online Control Allocation Scheme for a Dual-System UAV in Transition Flight

Fuente: arXiv
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Autores principales: Cai, Junfeng, Lovera, Marco
Formato: Preprint
Publicado: 2025
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author Cai, Junfeng
Lovera, Marco
author_facet Cai, Junfeng
Lovera, Marco
contents A novel active fault-tolerant control (AFTC) scheme for a dual-system vertical takeoff and landing (VTOL) unmanned aerial vehicle (UAV) during transition flight is proposed in this paper. The AFTC scheme is composed of a baseline control law and an online control reallocation module. First, the structured $H_{\infty}$ baseline control law is able to guarantee the stability of closed-loop systems without being reconfigured under simultaneous actuator fault conditions. Second, compared to the existing mainstream method of sliding mode control that is a discontinuous control strategy, the AFTC scheme can effectively avoid control chattering problem by adopting the structured $H_{\infty}$ baseline control law. Third, an online control allocation (CA) module is implemented to carry out a unified CA for all the available actuators. When actuator faults/failures occur, the CA matrix is updated according to fault information and real-time airspeed, which is able to redistribute the virtual control signals to the remaining healthy actuators, avoiding significant performance degradation. Based on the developed AFTC scheme, symmetric and non-symmetric actuator fault scenarios are simulated on a nonlinear six-degree-of-freedom simulator, where the cases of merely structured $H_{\infty}$ control and structured $H_{\infty}$ based AFTC are compared and analyzed. The results show that the proposed structured $H_{\infty}$ based AFTC system is capable of handling more complicated fault scenarios and model uncertainties with no need to reconfigure the baseline control law. The proposed AFTC scheme significantly improves the safety and reliability of the transition flight of dual-system VTOL UAVs.
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id arxiv_https___arxiv_org_abs_2510_04853
institution arXiv
publishDate 2025
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spellingShingle An Active Fault-Tolerant Online Control Allocation Scheme for a Dual-System UAV in Transition Flight
Cai, Junfeng
Lovera, Marco
Systems and Control
A novel active fault-tolerant control (AFTC) scheme for a dual-system vertical takeoff and landing (VTOL) unmanned aerial vehicle (UAV) during transition flight is proposed in this paper. The AFTC scheme is composed of a baseline control law and an online control reallocation module. First, the structured $H_{\infty}$ baseline control law is able to guarantee the stability of closed-loop systems without being reconfigured under simultaneous actuator fault conditions. Second, compared to the existing mainstream method of sliding mode control that is a discontinuous control strategy, the AFTC scheme can effectively avoid control chattering problem by adopting the structured $H_{\infty}$ baseline control law. Third, an online control allocation (CA) module is implemented to carry out a unified CA for all the available actuators. When actuator faults/failures occur, the CA matrix is updated according to fault information and real-time airspeed, which is able to redistribute the virtual control signals to the remaining healthy actuators, avoiding significant performance degradation. Based on the developed AFTC scheme, symmetric and non-symmetric actuator fault scenarios are simulated on a nonlinear six-degree-of-freedom simulator, where the cases of merely structured $H_{\infty}$ control and structured $H_{\infty}$ based AFTC are compared and analyzed. The results show that the proposed structured $H_{\infty}$ based AFTC system is capable of handling more complicated fault scenarios and model uncertainties with no need to reconfigure the baseline control law. The proposed AFTC scheme significantly improves the safety and reliability of the transition flight of dual-system VTOL UAVs.
title An Active Fault-Tolerant Online Control Allocation Scheme for a Dual-System UAV in Transition Flight
topic Systems and Control
url https://arxiv.org/abs/2510.04853