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Volume 7 Issue 2
Mar.  2020

IEEE/CAA Journal of Automatica Sinica

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Yun Li and Fan Yang, "Robust Adaptive Attitude Control for Non-rigid Spacecraft With Quantized Control Input," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 472-481, Mar. 2020. doi: 10.1109/JAS.2020.1003000
Citation: Yun Li and Fan Yang, "Robust Adaptive Attitude Control for Non-rigid Spacecraft With Quantized Control Input," IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 472-481, Mar. 2020. doi: 10.1109/JAS.2020.1003000

Robust Adaptive Attitude Control for Non-rigid Spacecraft With Quantized Control Input

doi: 10.1109/JAS.2020.1003000
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  • In this paper, an adaptive backstepping control scheme is proposed for attitude tracking of non-rigid spacecraft in the presence of input quantization, inertial uncertainty and external disturbance. The control signal for each actuator is quantized by sector-bounded quantizers, including the logarithmic quantizer and the hysteresis quantizer. By describing the impact of quantization in a new affine model and introducing a smooth function and a novel form of the control signal, the influence caused by input quantization and external disturbance is properly compensated for. Moreover, with the aid of the adaptive control technique, our approach can achieve attitude tracking without the explicit knowledge of inertial parameters. Unlike existing attitude control schemes for spacecraft, in this paper, the quantization parameters can be unknown, and the bounds of inertial parameters and disturbance are also not needed. In addition to proving the stability of the closed-loop system, the relationship between the control performance and design parameters is analyzed. Simulation results are presented to illustrate the effectiveness of the proposed scheme.

     

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    Highlights

    • An adaptive control scheme is proposed for attitude tracking of spacecraft.
    • Input quantization is properly dealt with by a bound estimation approach.
    • Attitude control is achieved in the presence of time-varying inertial parameters.
    • The relationship of control performance and quantization parameters is analyzed.

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