Staffordshire University logo
STORE - Staffordshire Online Repository

Modelling and Remote Control of an Excavator

LIU, Yang and HASAN, Mohammad and YU, Hongnian (2010) Modelling and Remote Control of an Excavator. The International Journal of Automation and Computing (IJAC), 7 (3). pp. 349-358. ISSN 1476-8186

[img]
Preview
Text (Y. Liu, M. S. Hasan, and H. Yu, "Modelling and Remote Control of an Excavator," the International Journal of Automation and Computing (IJAC), vol. 7, no. 3, pp. 349-358, 2010.)
ICAC 2010 Journalfinal.pdf - AUTHOR'S ACCEPTED Version (default)

Download (850kB) | Preview

Abstract or description

This paper reposts the results of an on-going project and investigates modelling and remote control issues of an industry excavator. The details of modelling, communication and control of a remotely controllable excavator are studied. The paper mainly focuses on trajectory tracking control of the excavator base and robust control of the excavator arm. These will provide the fundamental base for our next research step. In addition, extensive simulation results for trajectory tracking of the excavator base and robust control of the excavator arm are given. Finally, conclusions and further work have been identified.

Item Type: Article
Additional Information: This publication is based on the paper that was rewarded the "Best Paper" in the 15th International Conference on Automation & Computing
Uncontrolled Keywords: excavator; remote control; mechatronics; modelling
Subjects: G400 Computer Science
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Related URLs:
Depositing User: Mohammad HASAN
Date Deposited: 26 Apr 2013 14:38
Last Modified: 26 Apr 2013 14:38
URI: http://eprints.staffs.ac.uk/id/eprint/843

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000