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Volume 6 Issue 6
Nov.  2019

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Liang Sun, "Saturated Adaptive Output-Constrained Control of Cooperative Spacecraft Rendezvous and Docking," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1462-1470, Nov. 2019. doi: 10.1109/JAS.2019.1911621
Citation: Liang Sun, "Saturated Adaptive Output-Constrained Control of Cooperative Spacecraft Rendezvous and Docking
," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1462-1470, Nov. 2019. doi: 10.1109/JAS.2019.1911621

Saturated Adaptive Output-Constrained Control of Cooperative Spacecraft Rendezvous and Docking

doi: 10.1109/JAS.2019.1911621
Funds:  This work was supported in part by the National Natural Science Foundation of China (61903025), the Fundamental Research Funds for the Central Universities (FRF-GF-18-028B), and the China Scholarship Council (201906465028)
More Information
  • This paper investigates the robust relative pose control for spacecraft rendezvous and docking with constrained relative pose and saturated control inputs. A barrier Lyapunov function is used to ensure the constraints of states, so that the computational singularity of the inverse matrix in control command can be avoided, while a linear auxiliary system is introduced to handle with the adverse effect of actuator saturation. The tuning rules for designing parameters in control command and auxiliary system are derived based on the stability analysis of the closed-loop system. It is proved that all closed-loop signals always keep bounded, the prescribed constraints of relative pose tracking errors are never violated, and the pose tracking errors ultimately converge to small neighborhoods of zero. Simulation experiments validate the performance of the proposed robust saturated control strategy.

     

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    Highlights

    • A novel relative pose controller is proposed for cooperative rendezvous and docking.
    • Linear anti-windup compensator technique is employed to design saturated controller.
    • Barrier Lyapunov function-based constrained method is to avoid computational singularity.
    • Uniformly ultimately bounded stability is guaranteed under model uncertainties.

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