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Enhanced predictor–corrector Mars entry guidance approach with atmospheric uncertainties

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journal contribution
posted on 2019-11-13, 15:21 authored by Jianwei Xu, Jianzhong Qiao, Lei Guo, Wen-Hua ChenWen-Hua Chen
Due to the long-range data communication and complex Mars environment, the Mars lander needs to promote the ability to autonomously adapt uncertain situations ensuring high precision landing in future Mars missions. Based on the analysis of multiple disturbances, this study demonstrates an enhanced predictor–corrector guidance method to deal with the effect of atmospheric uncertainties during the entry phase of the Mars landing. In the proposed method, the predictor–corrector guidance algorithm is designed to autonomously drive the Mars lander to the parachute deployment. Meanwhile, the disturbance observer is designed to onboard estimate the effect of fiercely varying atmospheric uncertainties resulting from rapidly height decreasing. Then, with the estimation of atmospheric uncertainties compensated in the feed-forward channel, the composite guidance method is put forward such that both anti-disturbance and autonomous performance of the Mars lander guidance system are improved. Convergence of the proposed composite method is analysed. Simulations for a Mars lander entry guidance system demonstrates that the proposed method outperforms the baseline method in consideration of the atmospheric uncertainties.

Funding

National Natural Science Foundation of China (grant nos. 61627810, 61320106010, 61633003, 61661136007 and 61603021), the Program for Changjiang Scholars and Innovative Research Team (grant number IRT16R03) and Innovative Research Team of National Natural Science Foundation of China (grant no. 61421063)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IET Control Theory and Applications

Volume

13

Issue

11

Pages

1612 - 1618

Publisher

IET

Version

  • AM (Accepted Manuscript)

Rights holder

© The Institution of Engineering and Technology

Publisher statement

This paper is a postprint of a paper submitted to and accepted for publication in IET Control Theory and Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.

Acceptance date

2019-02-25

Publication date

2019-03-27

Copyright date

2019

ISSN

1751-8644

eISSN

1751-8652

Language

  • en

Depositor

Prof Wen-Hua Chen. Deposit date: 12 November 2019

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