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

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  • Yuanchun Li
  • Tianhao Ma
  • Bo Zhao

Abstract

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 system is 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.

Suggested Citation

  • Yuanchun Li & Tianhao Ma & Bo Zhao, 2015. "Neural Network Control for the Probe Landing Based on Proportional Integral Observer," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-10, February.
    • Handle: RePEc:hin:jnlmpe:102424
    DOI: 10.1155/2015/102424
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