Modeling and Analysis of Terrestrial Locomotion Dynamics of Helical Drive-Propelled Multi-Terrain Vehicles

Author:

Beknalkar Sumedh1,Varanwal Aditya1,Lynch Ryan1,Bryant Matthew1,Mazzoleni Andre1

Affiliation:

1. North Carolina State University , Raleigh, North Carolina, United States

Abstract

Abstract The diverse and heterogeneous terrains in the Arctic, consisting of snow, melting ice, permafrost, ice-covered lakes, sea ice and open ocean, pose serious challenges to locomotion and autonomous navigation capabilities of rovers deployed in the region for data collection and experimentation. The Multi-terrain Amphibious ARCtic explOrer or MAARCO rover is a proposed screw-propelled vehicle that uses helical drives (similar to Archimedes’ screws) to move seamlessly across the diverse terrains in the Arctic. The motion of a pair of helical drives operating in soft or fluid terrain is dictated by the response of the surrounding substrate to the stresses exerted by the rotating helical drives. If the substrate under the rover does not fail when it is moving in a straight line, the linear displacement of the rover (x) and the number of rotations of the helical drives (n) are related through x = P · n, where P is the pitch length of the helical drives. However, when the substrate fails, the linear displacement of the rover is less than P · n, i.e., x < P · n. Thus, “x = P · n” motion represents the optimal mode of operation for the rover when moving in a straight line. This paper represents the first ever attempt, to the best of author’s knowledge, to derive the conditions necessary for the application of the holonomic constraint x = P · n to the dynamics of a helical drives-based rover.

Publisher

American Society of Mechanical Engineers

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithm for Locomotion Mode Selection, Energy Estimation and Path Planning for a Multi-terrain Screw-Propelled Vehicle for Arctic Exploration;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Underwater Dynamics, Controls and Trajectory Tracking of an Amphibious Screw-propelled Vehicle for Arctic Exploration;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

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