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Mathematical Problems in Engineering
Volume 2015, Article ID 102424, 10 pages
http://dx.doi.org/10.1155/2015/102424
Research Article

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

1Department of Control Engineering, Changchun University of Technology, Changchun 130012, China
2State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Received 24 July 2014; Revised 11 November 2014; Accepted 13 November 2014

Academic Editor: Vu Ngoc Phat

Copyright © 2015 Yuanchun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.