An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault

As a class of autonomous deep-space exploration robots, Mars lander is simultaneously affected by wind disturbance and actuator fault, which hinders precise landing on Mars. In this article, we propose a composite guidance approach by combining disturbance observer and iterative learning observer to...

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Main Authors: Jianwei Xu, Jianzhong Qiao, Lei Guo
Format: Article
Language:English
Published: SAGE Publishing 2018-02-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881418759889
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spelling doaj-1c2e02ca74e6471aac1e15a7ba21af192020-11-25T03:08:35ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142018-02-011510.1177/1729881418759889An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator faultJianwei Xu0Jianzhong Qiao1Lei Guo2 School of Automation Science and Electrical Engineering, Beihang University, Beijing, China Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beihang University, Beijing, China Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beihang University, Beijing, ChinaAs a class of autonomous deep-space exploration robots, Mars lander is simultaneously affected by wind disturbance and actuator fault, which hinders precise landing on Mars. In this article, we propose a composite guidance approach by combining disturbance observer and iterative learning observer together. The Mars wind disturbance is dealt by the disturbance observer providing wind estimation which is rejected through feed-forward channel. Meanwhile, the iterative learning observer is used to estimate the deficiency of actuators. The proposed guidance scheme ensures not only the precision but also the reliability of the Mars guidance system. The stability of the closed-loop system is analyzed. Simulations made in different situations demonstrate the performance of the proposed approach.https://doi.org/10.1177/1729881418759889
collection DOAJ
language English
format Article
sources DOAJ
author Jianwei Xu
Jianzhong Qiao
Lei Guo
spellingShingle Jianwei Xu
Jianzhong Qiao
Lei Guo
An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
International Journal of Advanced Robotic Systems
author_facet Jianwei Xu
Jianzhong Qiao
Lei Guo
author_sort Jianwei Xu
title An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
title_short An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
title_full An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
title_fullStr An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
title_full_unstemmed An enhanced anti-disturbance guidance scheme for powered descent phase of Mars landing under actuator fault
title_sort enhanced anti-disturbance guidance scheme for powered descent phase of mars landing under actuator fault
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2018-02-01
description As a class of autonomous deep-space exploration robots, Mars lander is simultaneously affected by wind disturbance and actuator fault, which hinders precise landing on Mars. In this article, we propose a composite guidance approach by combining disturbance observer and iterative learning observer together. The Mars wind disturbance is dealt by the disturbance observer providing wind estimation which is rejected through feed-forward channel. Meanwhile, the iterative learning observer is used to estimate the deficiency of actuators. The proposed guidance scheme ensures not only the precision but also the reliability of the Mars guidance system. The stability of the closed-loop system is analyzed. Simulations made in different situations demonstrate the performance of the proposed approach.
url https://doi.org/10.1177/1729881418759889
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