Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control

Research on Path Planning and Trajectory Tracking of an Unmanned Electric Shovel Based on Improved APF and Preview Deviation Fuzzy Control

With the development and upgrading of intelligent mines, research on the unmanned walking of intelligent electric shovels (ES) has been carried out to improve the moving efficiency of extra-large excavators. This paper first introduces an electric shovel’s primary moving condition in an open-pit min...

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Bibliographic Details
Main Authors: Yi Fang, Shuai Wang, Qiushi Bi, Guohua Wu, Wei Guan, Yongpeng Wang, Chuliang Yan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Machines
Subjects:
unmanned electric shovel (ES)
path planning
trajectory tracking
artificial potential field (APF)
fuzzy control
Online Access:https://www.mdpi.com/2075-1702/10/8/707

Internet

https://www.mdpi.com/2075-1702/10/8/707

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