The Experts below are selected from a list of 5019 Experts worldwide ranked by ideXlab platform

Ali Zolghadri - One of the best experts on this subject based on the ideXlab platform.

  • Robust Fault Diagnosis for Atmospheric Reentry Vehicles: A Case Study
    IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 2010
    Co-Authors: Alexandre Falcoz, David Henry, Ali Zolghadri
    Abstract:

    This paper deals with the design of robust model-based fault detection and isolation (FDI) systems for atmospheric Reentry Vehicles. This work draws expertise from actions undertaken within a project at the European level, which develops a collaborative effort between the University of Bordeaux, the European Space Agency, and European Aeronautic Defence and Space Company Astrium on innovative and robust strategies for reusable launch Vehicles (RLVs) autonomy. Using an H∞/H- setting, a robust residual-based scheme is developed to diagnose faults on the vehicle wing-flap actuators. This design stage is followed by an original and specific diagnosis-oriented analysis phase based on the calculation of the generalized structured singular value. The latter provides a necessary and sufficient condition for robustness and FDI fault sensitivity over the whole vehicle flight trajectory. A key feature of the proposed approach is that the coupling between the in-plane and out-of-plane vehicle motions, as well as the effects that faults could have on the guidance, navigation, and control performances, are explicitly taken into account within the design procedure. The faulty situations are selected by a prior trimmability analysis to determine those for which the remaining healthy control effectors are able to maintain the vehicle around its center of gravity. Finally, some performance indicators including detection time, required onboard computational effort, and CPU time consumption are assessed and discussed. Simulation results are based on a nonlinear benchmark of the HL-20 vehicle under realistic operational conditions during the autolanding phase. The Monte Carlo results are quite encouraging, illustrating clearly the effectiveness of the proposed technique and suggesting that this solution could be considered as a viable candidate for future RLV programs.

Jun Zhou - One of the best experts on this subject based on the ideXlab platform.

  • robust tracking for hypersonic Reentry Vehicles via disturbance estimation triggered control
    IEEE Transactions on Aerospace and Electronic Systems, 2020
    Co-Authors: Zongyi Guo, Jun Zhou, Jianguo Guo, Jing Chang
    Abstract:

    This note presents a novel control framework based on disturbance estimation information to exploit the potential performance improvement. Disturbances in the hypersonic Reentry Vehicles are revisited, and a disturbance effect indicator (DEI) is defined to demonstrate the pros and cons of disturbances’ influence on the system. Based on the disturbance estimation, a disturbance estimation-triggered control scheme for the attitude tracking is established. Furthermore, the ultimately bounded stability of the closed-loop system is guaranteed. Distinguished from eliminating the disturbance directly in the state-of-the-art disturbance observer-based control, the proposed control switches its structure to counteract or retain the disturbance according to the DEI, and thus is capable of improving the transient performance. Simulation results verify the effectiveness and superiority of the proposed approach.

  • A longitudinal trajectory tracking method with L1 adaptive control for hypersonic Reentry Vehicles
    Transactions of the Institute of Measurement and Control, 2019
    Co-Authors: Gensen Han, Jun Zhou, Jianguo Guo
    Abstract:

    This paper presents a longitudinal trajectory tracking scheme with L1 adaptive control for hypersonic Reentry Vehicles (HRVs). A linear time-varying (LTV) multiple input multiple output (MIMO) mode...

  • adaptive attitude tracking control for hypersonic Reentry Vehicles via sliding mode based coupling effect triggered approach
    Aerospace Science and Technology, 2018
    Co-Authors: Zongyi Guo, Jianguo Guo, Jun Zhou
    Abstract:

    Abstract This paper proposed a coupling effect-triggered control approach for hypersonic Reentry Vehicles attitude tracking system based on the adaptive sliding mode techniques. A coupling effect indicator (CEI), which is established based on the Lyapunov stability theory, is obtained to demonstrate whether a coupling harms or benefits the system. In consequence, the coupling effect-triggered control driven by the CEI is developed to cancel the harmful couplings while keeping the beneficial couplings. Meanwhile, the robustness of the proposed method is enhanced by the adaptive sliding mode approach even when the boundary of the disturbance is unknown. To avoid the non-differentiable terms in the controller design, the command filtered scheme is introduced and the bounded stability of the closed-loop system is guaranteed. This technique outperforms the existing controllers which do not consider the coupling effect in the transient response. Finally, application to the hypersonic vehicle system is presented to demonstrate the validity of the proposed control scheme.

  • On a new coupling-based robust control for generic Reentry Vehicles
    2017 29th Chinese Control And Decision Conference (CCDC), 2017
    Co-Authors: Jun Zhou
    Abstract:

    This paper presents a new coupling-based robust control for generic Reentry Vehicles. First of all, the error dynamics of generic Reentry Vehicles is obtained based on backstepping technique. Then, a disturbance observer is proposed to estimate and compensate the lump disturbances. Finally, a robust coupling-based control scheme is proposed combining with disturbance observer, and the closed-loop stability is guaranteed through the Lyapunov theory. The aerodynamic parameters perturbation and actual actuator constraints are considered in numerical simulations, and the results demonstrate the validity of the control method in this paper.

  • Researching variable structure control of moving mass Reentry-Vehicles
    2010 3rd International Conference on Computer Science and Information Technology, 2010
    Co-Authors: Jun Zhou
    Abstract:

    This paper deals with the control of an axisymmetric moving mass actuated Reentry vehicle. Three channel stable dynamic equations of the Reentry vehicle are obtained derived from Newtonian theory. Since the maneuvering flighting in the Reentry stage is mainly in the longitudinal plane, linear equations of the vehicle in the longitudinal plane based on linear perturbation theory are available. In addition, the control system of the moving mass actuated Reentry vehicle is designed based on variable structure control method. Results obtained from simulations indicate the nonlinear model satisfy performance index demands of the attitude control.

Xingyue Shao - One of the best experts on this subject based on the ideXlab platform.

  • decoupling trajectory tracking for gliding Reentry Vehicles
    IEEE CAA Journal of Automatica Sinica, 2015
    Co-Authors: Zixuan Liang, Zhang Ren, Xingyue Shao
    Abstract:

    A decoupling trajectory tracking method for gliding Reentry Vehicles is presented to improve the reliability of the guidance system. Function relations between state variables and control variables are analyzed. To reduce the coupling between control channels, the multiple-input multiple-output (MIMO) tracking system is separated into a series of two single-input single-output (SISO) subsystems. Tracking laws for both velocity and altitude are designed based on the sliding mode control (SMC). The decoupling approach is verified by the Monte Carlo simulations, and compared with the linear quadratic regulator (LQR) approach in some specific conditions. Simulation results indicate that the decoupling approach owns a fast convergence speed and a strong anti-interference ability in the trajectory tracking.

Alexandre Falcoz - One of the best experts on this subject based on the ideXlab platform.

  • Robust Fault Diagnosis for Atmospheric Reentry Vehicles: A Case Study
    IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 2010
    Co-Authors: Alexandre Falcoz, David Henry, Ali Zolghadri
    Abstract:

    This paper deals with the design of robust model-based fault detection and isolation (FDI) systems for atmospheric Reentry Vehicles. This work draws expertise from actions undertaken within a project at the European level, which develops a collaborative effort between the University of Bordeaux, the European Space Agency, and European Aeronautic Defence and Space Company Astrium on innovative and robust strategies for reusable launch Vehicles (RLVs) autonomy. Using an H∞/H- setting, a robust residual-based scheme is developed to diagnose faults on the vehicle wing-flap actuators. This design stage is followed by an original and specific diagnosis-oriented analysis phase based on the calculation of the generalized structured singular value. The latter provides a necessary and sufficient condition for robustness and FDI fault sensitivity over the whole vehicle flight trajectory. A key feature of the proposed approach is that the coupling between the in-plane and out-of-plane vehicle motions, as well as the effects that faults could have on the guidance, navigation, and control performances, are explicitly taken into account within the design procedure. The faulty situations are selected by a prior trimmability analysis to determine those for which the remaining healthy control effectors are able to maintain the vehicle around its center of gravity. Finally, some performance indicators including detection time, required onboard computational effort, and CPU time consumption are assessed and discussed. Simulation results are based on a nonlinear benchmark of the HL-20 vehicle under realistic operational conditions during the autolanding phase. The Monte Carlo results are quite encouraging, illustrating clearly the effectiveness of the proposed technique and suggesting that this solution could be considered as a viable candidate for future RLV programs.

David Henry - One of the best experts on this subject based on the ideXlab platform.

  • Robust Fault Diagnosis for Atmospheric Reentry Vehicles: A Case Study
    IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 2010
    Co-Authors: Alexandre Falcoz, David Henry, Ali Zolghadri
    Abstract:

    This paper deals with the design of robust model-based fault detection and isolation (FDI) systems for atmospheric Reentry Vehicles. This work draws expertise from actions undertaken within a project at the European level, which develops a collaborative effort between the University of Bordeaux, the European Space Agency, and European Aeronautic Defence and Space Company Astrium on innovative and robust strategies for reusable launch Vehicles (RLVs) autonomy. Using an H∞/H- setting, a robust residual-based scheme is developed to diagnose faults on the vehicle wing-flap actuators. This design stage is followed by an original and specific diagnosis-oriented analysis phase based on the calculation of the generalized structured singular value. The latter provides a necessary and sufficient condition for robustness and FDI fault sensitivity over the whole vehicle flight trajectory. A key feature of the proposed approach is that the coupling between the in-plane and out-of-plane vehicle motions, as well as the effects that faults could have on the guidance, navigation, and control performances, are explicitly taken into account within the design procedure. The faulty situations are selected by a prior trimmability analysis to determine those for which the remaining healthy control effectors are able to maintain the vehicle around its center of gravity. Finally, some performance indicators including detection time, required onboard computational effort, and CPU time consumption are assessed and discussed. Simulation results are based on a nonlinear benchmark of the HL-20 vehicle under realistic operational conditions during the autolanding phase. The Monte Carlo results are quite encouraging, illustrating clearly the effectiveness of the proposed technique and suggesting that this solution could be considered as a viable candidate for future RLV programs.