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Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking

Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies. This paper proposes a novel wheeled–legged mechan...

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Detalles Bibliográficos
Autores principales: He, Jun, Sun, Yanlong, Yang, Limin, Gao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185308/
https://www.ncbi.nlm.nih.gov/pubmed/35684785
http://dx.doi.org/10.3390/s22114164
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author He, Jun
Sun, Yanlong
Yang, Limin
Gao, Feng
author_facet He, Jun
Sun, Yanlong
Yang, Limin
Gao, Feng
author_sort He, Jun
collection PubMed
description Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies. This paper proposes a novel wheeled–legged mechanism for the design of planetary rovers. The leg suspension utilizes a rigid–flexible coupling mechanism with a hybrid serial–parallel topology. First, the kinematic model is derived. Then, a control strategy for the wheeled–legged rover that includes a trajectory tracking module based on the model predictive control, the steering strategy, and the wheel speed allocation algorithm is proposed. After that, three groups of cosimulations with different trajectories and speeds, and experiments are carried out. Results of both the simulations and experiments validate the proposed control method.
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spelling pubmed-91853082022-06-11 Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking He, Jun Sun, Yanlong Yang, Limin Gao, Feng Sensors (Basel) Article Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies. This paper proposes a novel wheeled–legged mechanism for the design of planetary rovers. The leg suspension utilizes a rigid–flexible coupling mechanism with a hybrid serial–parallel topology. First, the kinematic model is derived. Then, a control strategy for the wheeled–legged rover that includes a trajectory tracking module based on the model predictive control, the steering strategy, and the wheel speed allocation algorithm is proposed. After that, three groups of cosimulations with different trajectories and speeds, and experiments are carried out. Results of both the simulations and experiments validate the proposed control method. MDPI 2022-05-30 /pmc/articles/PMC9185308/ /pubmed/35684785 http://dx.doi.org/10.3390/s22114164 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
He, Jun
Sun, Yanlong
Yang, Limin
Gao, Feng
Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title_full Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title_fullStr Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title_full_unstemmed Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title_short Model Predictive Control of a Novel Wheeled–Legged Planetary Rover for Trajectory Tracking
title_sort model predictive control of a novel wheeled–legged planetary rover for trajectory tracking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185308/
https://www.ncbi.nlm.nih.gov/pubmed/35684785
http://dx.doi.org/10.3390/s22114164
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