Energy optimization path planning for battery-powered agricultural rover

Niu, Cong and Yan, Xiutian (2018) Energy optimization path planning for battery-powered agricultural rover. MATEC Web of Conferences, 173. 02001. ISSN 2261-236X (https://doi.org/10.1051/matecconf/201817302001)

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Abstract

Battery life is critical for battery-powered agricultural rovers, so techniques such as optimized moving path planning are of great significance in this field. Finding an optimized path other than straight-line path could save energy and prolong the battery life. Compared with traditional straight-line path planning, an energy-optimized path planning is realized based on artificial potential field algorithm. In simulation studies, most of the uphill is avoided and at least 10.15 % of energy is saved with the optimized path planning. We believe this energy optimization path planning algorithm is a feasible solution to extend the battery life for field operated agricultural rover.

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Item metadata

Item type:	Article
ID code:	65931
Dates:	Date Event 19 June 2018 Published 18 April 2018 Accepted
Notes:	Paper presented at the 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018).
Subjects:	Technology > Manufactures Agriculture > Agriculture (General)
Department:	Faculty of Engineering > Design, Manufacture and Engineering Management University of Strathclyde > University of Strathclyde
Depositing user:	Pure Administrator
Date deposited:	01 Nov 2018 07:17
Last modified:	09 Apr 2024 00:23
URI:	https://strathprints.strath.ac.uk/id/eprint/65931

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