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Robust control algorithm designed for robotic legs of lunar-based equipment: Modeling and experiment.

Authors :
Chen, Zheng-Han
Xu, Zhao-Dong
Wang, Rui-Heng
Lu, Hong-Fang
Yu, Deng-Yun
Yang, Jian-Zhong
Zhao, Xue-Liang
Hu, Zhong-Wei
Zhen, Sheng-Chao
Source :
Advances in Space Research. Oct2024, Vol. 74 Issue 8, p3945-3957. 13p.
Publication Year :
2024

Abstract

[Display omitted] • The construction of unmanned lunar bases requires the work of lunar-based equipment. • This study proposes a robust control algorithm for the stable movement of lunar based equipment. • The proposed robust control strategy performs well in real-time experiment. • The proposed robust control algorithm has advantages over existing control strategies. In lunar exploration, lunar-based equipment assumes the responsibility of mobility and transportation during the construction of unmanned lunar base. Legged robots are an important form of the lunar-based equipment due to their mobility and terrain adaptability. However, the influence of lunar terrain and lunar soil cannot be ignored when it comes to studying the mobile stability of lunar-based equipment. Utilizing the dynamic model of the robotic leg, this study proposes a new robust control algorithm, MBC (Model-Based with Continuous expression) algorithm, for lunar-based equipment's robotic leg, and its effectiveness is established through experimentation and theoretical validation with the Lyapunov second method. In the design and verification, the contact force of lunar soil and the lunar environment with low gravity are considered, indicating the applicability of the proposed MBC method in special lunar scenarios. Compared to the conventional PD (Proportional-Differential) and MPD (Model-Based Proportional-Differential) techniques, MBC robust algorithm ultimately demonstrates superior stability and rapidity with a smaller steady state error. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02731177
Volume :
74
Issue :
8
Database :
Academic Search Index
Journal :
Advances in Space Research
Publication Type :
Academic Journal
Accession number :
179462659
Full Text :
https://doi.org/10.1016/j.asr.2024.06.064