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首页> 外文期刊>Mathematical Problems in Engineering >Adaptive Fuzzy Sliding Mode Control for the Probe Soft Landing on the Asteroids with Weak Gravitational Field
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Adaptive Fuzzy Sliding Mode Control for the Probe Soft Landing on the Asteroids with Weak Gravitational Field

机译:重力场弱的小行星探测软着陆的自适应模糊滑模控制

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摘要

For the trajectory control of the probe soft landing on the asteroids with weak gravitational field, this paper presents a combined integral sliding mode control with an adaptive fuzzy logic system, named adaptive fuzzy sliding mode control (AFSMC) scheme. Considering the uncertainty of the orbit dynamics model in the small body fixed coordinate system, and the polyhedron modeling uncertainty in the gravitational potential, a fuzzy logic system is adopted to approximate the upper bound of the uncertainties. In addition, a robust control item is introduced to compensate for the approximation error of fuzzy logic system. The designed adaptive law and robust item make the closed-loop control stable and the tracking errors are convergent to zero. The controller not only guarantees the rapidity and accuracy of the desired trajectory tracking, but also enhances the robustness of the control system, improving the dynamic tracking performance for the probe soft landing on asteroids. Finally, the contrastive simulation results are presented to show the feasibility and effectiveness of the proposed control scheme.
机译:为了对弱重力小行星上的探测器软着陆进行轨迹控制,提出了一种结合了集成滑模控制和自适应模糊逻辑系统的自适应模糊滑模控制(AFSMC)方案。考虑到小物体固定坐标系中轨道动力学模型的不确定性以及引力势中的多面体建模不确定性,采用模糊逻辑系统来近似不确定性的上限。另外,引入了鲁棒的控制项来补偿模糊逻辑系统的逼近误差。所设计的自适应律和鲁棒项使闭环控制稳定,并且跟踪误差收敛到零。该控制器不仅保证了所需轨迹跟踪的快速性和准确性,而且还增强了控制系统的鲁棒性,从而改善了小行星上探测器软着陆的动态跟踪性能。最后,对比仿真结果表明了该控制方案的可行性和有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第9期|582948.1-582948.8|共8页
  • 作者单位

    Changchun Univ Technol, Dept Control Engn, Changchun 130012, Peoples R China.;

    Changchun Univ Technol, Dept Control Engn, Changchun 130012, Peoples R China.;

    Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China.;

    Changchun Univ Technol, Dept Control Engn, Changchun 130012, Peoples R China.;

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