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Trajectory planning based on minimum input energy for the electro-hydraulic cable shovel

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper deals with the work trajectory planning of a novel electric-hydraulic compound cable shovel. As the high-efficient mechanical equipment, the cable shovel has been widely used in the open pit mine. The excavating process of the shovel is completed by the simultaneous operation of its crowd system and hoist system. Compared with the gear or wire rope transmission, the hydraulic transmission can provide greater crowd force and more convenient overload protection. The excavating process has been modeled using shovel kinematics and dynamics, including the dynamic shovel payload and excavating resistance. On this foundation, the energy-minimum trajectory planning method by utilizing the crowd and hoist speeds described by segmental cubic polynomials, is put forward to minimize the energy consumption per unit mass. To verify the validity of the proposed method, three types of material piles with different pile angles (35°, 40°, and 45°) are compared with respect to the digging performance. Results show that the larger the pile angle is, the smaller the total energy consumption will be. The energy-minimum trajectory planning method can significantly save excavation energy as well as meet the productivity requirements.

Original languageEnglish
Title of host publication2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages397-402
Number of pages6
ISBN (Electronic)9781728167947
DOIs
StatePublished - Jul 2020
Event2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020 - Boston, United States
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2020-July

Conference

Conference2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Country/TerritoryUnited States
CityBoston
Period6/07/209/07/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Cable shovel
  • Cubic polynomial
  • Energy-minimum
  • Hydraulic transmission
  • Trajectory planning

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