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Neural Network Control for the Probe Landing Based on Proportional Integral Observer

机译:基于比例积分观测器的探针着陆神经网络控制

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摘要

For the probe descending and landing safely, a neural network control method based on proportional integral observer (PIO) is proposed. First, the dynamics equation of the probe under the landing site coordinate systemis deduced and the nominal trajectory meeting the constraints in advance on three axes is preplanned. Then the PIO designed by using LMI technique is employed in the control law to compensate the effect of the disturbance. At last, the neural network control algorithm is used to guarantee the double zero control of the probe and ensure the probe can land safely. An illustrative design example is employed to demonstrate the effectiveness of the proposed control approach.
机译:为了使探测器安全降落,提出了一种基于比例积分观测器的神经网络控制方法。首先,推导了探测器在着陆点坐标系下的动力学方程,并预先规划了在三个轴上满足约束条件的名义轨迹。然后在控制律中采用通过LMI技术设计的PIO,以补偿干扰的影响。最后,使用神经网络控制算法来保证探头的双零控制,并确保探头能够安全着陆。一个说明性的设计示例被用来证明所提出的控制方法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|102424.1-102424.10|共10页
  • 作者

    Li Yuanchun; Ma Tianhao; Zhao Bo;

  • 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.;

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