Automatic control system for walking dragline excavator digging
https://doi.org/10.17073/2500-0632-2022-1-57-65
Abstract
This paper presents the results of the development of automatic control systems for walking dragline excavator digging process. The process enables operational productivity to be enhanced through optimizing digging process. This also prevents extreme loads on machinery and hoist cable deflection. The paper also describes mathematical models of the electric drives of the main excavator machinery which form the bucket motion and the model of cable length change. Further the study will analyse the tructure of the control system and the automatic digging algorithm. Computer modeling findings are also described to confirm the operability of the automatic digging algorithm. Computer simulation of the processes in electric drives of main machinery of a walking dragline in digging operations was performed by means of SimInTech software. The automatic control system optimizes digging trajectory with very fast penetration with permissible overregulation following digging at a constant cut depth. The integrated system of dragline operation process control is practically independent due to the following factors: the automatic digging control system in combination with automatic systems for transporting the loaded bucket to dump and the empty bucket to the face; the automatic main machinery overload protection systems; and the system of control over safe bucket movement in the dragline working space.
About the Authors
L. D. Pevzner
Russian Technological University MIREA
Russian Federation
Russian Federation
Leonid D. Pevzner – Dr. Sci. (Eng.), Professor, Institute of Cybernetics
Scopus ID 37093879700
Moscow
N. A. Kiselev
Russian Technological University MIREA
Russian Federation
Russian Federation
Nikolay A. Kiselev – Undergraduate, Institute of Cybernetics
Moscow
References
1. Ponnusamy M., Maity T. Recent advancements in dragline control systems. Journal of Mining Science. 2016;52:160–168. https://doi.org/10.1134/S106273911601025X
2. Liu H., Kearney M., Austin K. Development of dragline excavation model for operation planning. In: Australasian Conference on Robotics and Automation, ACRA. 2016. Pp. 55–63. URL: https://www.araa.asn.au/acra/acra2016/papers/pap107s1.pdf
3. Corke P., Winstanley G., Dunbabin M., Roberts J. Dragline automation: experimental evaluation through productivity trial. In: Yuta S., Asama H., Prassler E., Tsubouchi T., Thrun S. (eds.) Field and Service Robotics. Springer Tracts in Advanced Robotics. Springer, Berlin, Heidelberg. 2006;24:459–468. https://doi.org/10.1007/10991459_44
4. Liu H., Kearney M. P., Austin K. J. Dragline operation modelling and task assignment based on mixed-integer linear programming. Optimization and Engineering. 2018;19:1005–1036. https://doi.org/10.1007/s11081-018-9386-5
5. Htay W. Z., Pevzner L. D., Temkin I. O. Algorithmic and hardware support for on-board information system of walking dragline excavator. Mining Informational and Analytical Bulletin. 2019;(2):190–196. https://doi.org/10.25018/0236-1493-2019-02-0-190-196
6. Gölbaşi O., Demirel N. Investigation of stress in an earthmover bucket using finite element analysis: A generic model for draglines. Journal of the Southern African Institute of Mining and Metallurgy. 2015;115(7):623–628. https://doi.org/10.17159/2411-9717/2015/v115n7a8
7. Kumar A., Nandikanti S., Batchu C. Analysis of stress distribution on the bucket of a dragline machine. Journal of Mines, Metals and Fuels. 2016;64(5-6):118–122.
8. Ha Q., Santos M., Nguyen Q., Rye D., Durrant-Whyte H. Robotic excavation in construction automation. In: IEEE Robotics & Automation Magazine. 2002;9:20–28. https://doi.org/10.1109/100.993151
9. Vul Yu. Ya., Kluchev V. I., Sedakov L.V. Adjustment of electric drives of excavators. Мoscow: Nedra Publ.; 1975. (In Russ.)
10. Pevzner L. D. Automated control system for heavy cyclic excavators. Russian Mining Industry. 2011;(5):58. (In Russ.). URL: https://mining-media.ru/ru/article/karertekh/842-avtomatizirovannayasistema-upravleniya-tyazhelymi-ekskavatorami-tsiklicheskogo-dejstviya-2
11. Pevzner L. D. Automated control of heavy-duty single-bucket excavators. Мoscow: Gornoe Delo Publ.; 2014 p. (In Russ.)
12. Winstanley G. J., Corke P. I., Roberts J. M. Dragline swing automation. In: IEEE International Conference on Robotics and Automation. Albuquerque, New Mexico, USA. 1997;3:1827–1832. https://doi.org/10.1109/ROBOT.1997.619053
13. Ridley P., Corke P. Dragline Automation. In: Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164). Seoul, Korea (South). 2001;4:3742–3747. https://doi.org/10.1109/ROBOT.2001.933200
Review
For citations:
Pevzner L.D., Kiselev N.A. Automatic control system for walking dragline excavator digging. Mining Science and Technology (Russia). 2022;7(1):57-65. https://doi.org/10.17073/2500-0632-2022-1-57-65
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