Shovel-loading cooperative control of loader under typical working conditions

Bing-Wei Cao; Chang-Yi Liu; Wei Chen; Peng Tan; Jian-Wen Yang

doi:10.1016/j.isatra.2023.07.010

Shovel-loading cooperative control of loader under typical working conditions

ISA Trans. 2023 Nov:142:702-715. doi: 10.1016/j.isatra.2023.07.010. Epub 2023 Jul 12.

Authors

Bing-Wei Cao¹, Chang-Yi Liu², Wei Chen³, Peng Tan⁴, Jian-Wen Yang⁴

Affiliations

¹ College of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, PR China; Weihai Institute for Bionics-Jilin University, Weihai 264200, PR China.
² College of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, PR China; Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, PR China.
³ College of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, PR China. Electronic address: chenwei_1979@jlu.edu.cn.
⁴ College of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, PR China.

PMID: 37481439
DOI: 10.1016/j.isatra.2023.07.010

Abstract

The difference in power demand and the driver's operation in various operation stages make the loader have the problem of low energy utilization. Changeable operating objects and drastically changing loads have exacerbated the difficulty of energy-saving research in different operating stages of loaders. Therefore, based on identifying the operation stage and analyzing the load characteristics under typical working conditions of the loader, this paper proposes a shovel-loading cooperative control strategy. Specifically, the Drag Reduction Insertion (DRI) in the shoveling stage is realized based on learning the driving intention. Based on different operation stages, the load characteristics of different materials for shovel-loading are deeply analyzed, and the prediction research of the power output characteristics of the power unit is carried out. The shovel-loading cooperative control solves the problem of the poor economy caused by different power requirements in different operation stages and significantly reduces the impact of the driver's operating experience.

Keywords: Driving intention; Load characteristic; Operating stage identification; Power output characteristics; Shovel-loading cooperative.