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Slip detection and compensation in a...
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Stewart, Aaron T.
Slip detection and compensation in autonomous tracked micro-vehicles.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Slip detection and compensation in autonomous tracked micro-vehicles./
作者:
Stewart, Aaron T.
面頁冊數:
1 online resource (136 pages)
附註:
Source: Masters Abstracts International, Volume: 48-06, page: 3859.
Contained By:
Masters Abstracts International48-06.
標題:
Mechanical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9781124098449
Slip detection and compensation in autonomous tracked micro-vehicles.
Stewart, Aaron T.
Slip detection and compensation in autonomous tracked micro-vehicles.
- 1 online resource (136 pages)
Source: Masters Abstracts International, Volume: 48-06, page: 3859.
Thesis (M.Eng.)--University of Louisville, 2010.
Includes bibliographical references
When tracked vehicles traverse terrain such as sand, soil, or even concrete, they may encounter a variance in density or viscosity of the medium that the vehicle is traveling along. When this happens, one track begins to move faster or slower relative to the ground than its counterpart, causing a change in its orientation and position. Autonomous tracked vehicles must be able to detect how much change occurred in the orientation and position of the vehicle and it must then determine a new path to reach the target location.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781124098449Subjects--Topical Terms:
557493
Mechanical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Slip detection and compensation in autonomous tracked micro-vehicles.
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When tracked vehicles traverse terrain such as sand, soil, or even concrete, they may encounter a variance in density or viscosity of the medium that the vehicle is traveling along. When this happens, one track begins to move faster or slower relative to the ground than its counterpart, causing a change in its orientation and position. Autonomous tracked vehicles must be able to detect how much change occurred in the orientation and position of the vehicle and it must then determine a new path to reach the target location.
520
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This paper focuses on development of the ability for a small tracked vehicle to detect when a slip has occurred, how much the vehicle has slipped and how the autonomous vehicle should correct for the slip that has occurred. Three different algorithms are tested, the Straight Line Slip Method, the Arc Extension Method and the Arc Compensation Method. The Arc Compensation Method returned the best and most predictable results. The Arc Compensation Method averaged 60 mm to the target location from where the vehicle stopped the smallest of the three methods. This method also maintained a smaller standard deviation and range for the distance to the target location than the other two methods.
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