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Slip Estimation for Mars Rover Zhurong Based on Data Drive

  • Tianyi Zhang*
  • , Song Peng
  • , Yang Jia
  • , He Tian
  • , Junkai Sun
  • , Chuliang Yan
  • *Corresponding author for this work
  • School of Mechanical and Aerospace Engineering
  • China Aerospace Science and Technology Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

China’s Mars rover Zhurong successfully landed on Mars on 15th May 2021, and it is currently conducting an exploration mission on the Red Planet. This paper develops slip estimation models for the Mars rover Zhurong based on the data drive approach. Data were obtained by Zhurong’s validator ground indoor tests, and the test site was equipped with a low-gravity simulation device and simulated Mars soil to simulate the Mars conditions as much as possible. The obtained slip models trained by BP and GA-BP algorithms were applied to estimate Zhurong’s longitudinal (slip_x) and lateral slip (slip_y) on Mars, and the slip estimation values were used to display Zhurong’s actual driving path. The analyzed results prove that the GA-BP slip models perform better than the BP models, and can both be applied for correcting Zhurong’s path. The proposed models have high potential in guiding the path planning and monitoring of the slip for the Mars rover Zhurong.

Original languageEnglish
Article number1676
JournalApplied Sciences (Switzerland)
Volume12
Issue number3
DOIs
StatePublished - 1 Feb 2022
Externally publishedYes

Keywords

  • Data drive
  • Lateral slip
  • Longitudinal slip
  • Mars rover Zhurong

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