Skip to main content
Log in

Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator

  • Research Article
  • Published:
International Journal of Automation and Computing Aims and scope Submit manuscript

Abstract

Dragline excavators are closed-loop mining manipulators that operate using a rigid multilink framework and rope and rigging system, which constitute its front-end assembly. The arrangements of dragline front-end assembly provide the necessary motion of the dragline bucket within its operating radius. The assembly resembles a five-link closed kinematic chain that has two independent generalized coordinates of drag and hoist ropes and one dependent generalized coordinate of dump rope. Previous models failed to represent the actual closed loop of dragline front-end assembly, nor did they describe the maneuverability of dragline ropes under imposed geometric constraints. Therefore, a three degrees of freedom kinematic model of the dragline front-end is developed using the concept of generalized speeds. It contains all relevant configuration and kinematic constraint conditions to perform complete digging and swinging cycles. The model also uses three inputs of hoist and drag ropes linear and a rotational displacement of swinging along their trajectories. The inverse kinematics is resolved using a feedforward displacement algorithm coupled with the Newton-Raphson method to accurately estimate the trajectories of the ropes. The trajectories are solved only during the digging phase and the singularity was eliminated using Baumgarte’s stabilization technique (BST), with appropriate inequality constraint equations. It is shown that the feedforward displacement algorithm can produce accurate trajectories without the need to manually solve the inverse kinematics from the geometry. The research findings are well in agreement with the dragline real operational limits and they contribute to the efficiency and the reduction in machine downtime due to better control strategies of the dragline cycles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Komatsu Company. Available: https://mining.komatsu/surface-mining/draglines, 2019.

  2. G. Lurmey, M. McKee. Mining for Efficiency, Technical Report (Mining Intelligence & Benchmarking), Pricewa-terhouse Coopers, Sydney, Australia, 2014.

    Google Scholar 

  3. R. A. Carter. Moving and maintaining the world’s biggest diggers. Engineering & Mining Journal, vol. 216, no. 11, pp. 40–59, 2015.

    Google Scholar 

  4. A. K. Kemp. Computerized system analyzed dragline performance prints out data. Coal Age, vol. 79, no. 9, pp. 92–97, 1974.

    Google Scholar 

  5. C. E. McCoy Jr, L. J. Crowgey. Anti-tightline control system for draglines used in the surface mining industry. In Proceedings of Conference Record, Industry Applications Society, IEEE-IAS Annual Meeting, Behrend College Graduate Center, Pennsylvania State University, Pennsylvania, USA, pp. 140–145, 1980.

    Google Scholar 

  6. N. Godfrey, A. Susanto. Partial automation of a dragline working in conjunction with a hopper/crusher/conveyor overburden removal system. In Proceedings of the fifteenth Large Open Pit Mining Conference, Institute of Electrical and Electronics Engineers, New York, USA, 1980.

    Google Scholar 

  7. H. L. Hartman. Introductory Mining Engineering, New York, USA: Wiley, Article number 633, 1987.

    Google Scholar 

  8. D. K. Haneman, H. Hayes, G. I. Lumley. Dragline performance evaluations for tarong coal using physical modelling. In Proceedings of the Third Large Open Pit Mining Conference, The Australasian Institute of Mining and Metallurgy, Mackay, Australia, 1992.

    Google Scholar 

  9. S. W. P. Esterhuyse. The Influence of Geometry on Dragline Bucket Filling Performance, Master dissertation, Stellenbosch University, Stellenbosch, South Africa, 1997.

    Google Scholar 

  10. P. F. Knights, D. H. Shanks. Dragline productivity improvements through short-term monitoring. In Proceedings of Institution of Engineers, Coal Handling and Utilization Conference, Sydney, Australia, pp. 100–103, 1990.

  11. P. Corke, J. Roberts, G. Winstanley. Experiments and experiences in developing a large robot mining system. Experimental Robotics VI, P. Corke, J. Trevelyan, Ed., London, UK: Springer, pp. 183–192, 2000. DOI: https://doi.org/10.1007/BFb0119397.

    Chapter  Google Scholar 

  12. J. Roberts, G. Winstanley, P. Corke. Three-dimensional imaging for a very large excavator. The International Journal of Robotics Research, vol. 22, no. 7–8, pp. 467–477, 2003. DOI: https://doi.org/10.1177/02783649030227003.

    Article  Google Scholar 

  13. J. Kyle, M. Costello. Comparison of measured and simulated motion of a scaled dragline excavation system. Mathematical and Computer Modelling, vol. 44, no. 9–10, pp. 816–833, 2006. DOI: https://doi.org/10.1016/j.mcm.2006.02.015.

    Article  Google Scholar 

  14. T. Yang, N. Sun, H. Chen, Y. C. Fang. Neural network-based adaptive antiswing control of an underactuated ship-mounted crane with roll motions and input dead zones. IEEE Transactions on Neural Networks and Learning Systems, to be published. DOI: https://doi.org/10.1109/TNNLS.2019.2910580.

    Article  Google Scholar 

  15. H. J. Yang, M. Tan. Sliding mode control for flexible-link manipulators based on adaptive neural networks. International Journal of Automation and Computing, vol 15, no. 2, pp. 239–248, 2018. DOI: https://doi.org/10.1007/s11633-018-1122-2.

    Article  Google Scholar 

  16. G. W. Zhang, P. Yang, J. Wang, J. J. Sun, Y. Zhang. Integrated observer-based fixed-time control with backstepping method for exoskeleton robot. International Journal of Automation and Computing, to be published. DOI: https://doi.org/10.1007/s11633-019-1201-z.

    Article  Google Scholar 

  17. M. Ponnusamy, T. Maity. Recent advancements in dragline control systems. Journal of Mining Science, vol. 52, no. 1, pp. 160–168, 2016. DOI: https://doi.org/10.1134/S106273911601025X.

    Article  Google Scholar 

  18. Y. Liu, M. S. Hasan, H. N. Yu. Modelling and remote control of an excavator. International Journal of Automation and Computing, vol. 7, no. 3, pp. 349–358, 2010. DOI: https://doi.org/10.1007/s11633-010-0514-8.

    Article  Google Scholar 

  19. X. M. Niu, G. Q. Gao, X. J. Liu, Z. D. Bao. Dynamics and control of a novel 3-DOF parallel manipulator with actuation redundancy. International Journal of Automation and Computing, vol. 10, no. 6, pp. 552–562, 2013. DOI: https://doi.org/10.1007/s11633-013-0753-6.

    Article  Google Scholar 

  20. N. Demirel, S. Frimpong. Dragline dynamic modelling for efficient excavation. International Journal of Mining, Reclamation and Environment, vol. 23, no. 1, pp. 4–20, 2009. DOI: https://doi.org/10.1080/17480930802091166.

    Article  Google Scholar 

  21. Y. Li, W. Y. Liu. Dynamic dragline modeling for operation performance simulation and fatigue life prediction. Engineering Failure Analysis, vol. 34, pp. 93–101, 2013. DOI: https://doi.org/10.1016/j.engfailanal.2013.07.020.

    Article  Google Scholar 

  22. T. R. Kane, D. A. Levinson. Dynamics: Theory and Applications, New York, USA: McGraw-Hill, 1985.

    Google Scholar 

  23. A. K. Banerjee. Flexible Multibody Dynamics: Efficient Formulations and Applications, West Sussex, UK: John Wiley and Sons, Ltd, 2016.

    Book  Google Scholar 

  24. M. Wardeh. Computational Dynamics and Virtual Dragline Simulation for Extended Rope Service Life, Ph. D. dissertation, Missouri University of Science and Technology, Rolla, USA, 2018.

    Google Scholar 

  25. J. Baumgarte. Stabilization of constraints and integrals of motion in dynamical systems. Computer Methods in Applied Mechanics and Engineering, vol. 1, no. 1, pp. 1–16, 1972. DOI: https://doi.org/10.1016/0045-7825(72)90018-7.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the anonymous referees for their valuable inputs. The funding from the Robert H. Quenon Endowment at Missouri S&T for this research is also greatly acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad A. Wardeh.

Additional information

Muhammad A. Wardeh received the B. Eng. degree in mechanical design and production from Damascus University, Syria in 2007. He received two M. Eng. degrees in material science and engineering from the Universities of Paris 6 and 11, France in 2011 and 2012, respectively. He received the Ph. D. degree in mining engineering (engineering mechanics with a focus on computational multibody dynamics and virtual modeling) from Missouri University of Science and Technology (Missouri S&T), USA in 2018. From 2006 to 2009, he worked for multiple engineering firms in China and Europe. From 2010 to 2012, he was a graduate research assistant in a master’s program (Master MAGIS Materials and Engineering Sciences in Paris), France. In 2019, he served as a research associate in the Center for Infrastructure Engineering Studies at Missouri S&T, USA.

His research interests include computational dynamics, virtual modeling, finite element analysis, and materials constitutive modeling, microstructural materials modeling and their testing and surface characterization.

Samuel Frimpong received the Ph.D. degree from the University of Alberta, Canada in 1992. He is a professor and the Robert H. Quenon Endowed Chair at Missouri S&T and Director of the Heavy Machinery Research Laboratory. His professional experience includes over 30 years of research and teaching, over 20 years of university administration, and several years of industry practice. He has been recognized with the 2018 Faculty External Recognition Award by Missouri S&T; 2018 Outstanding Faculty of the Year Award by Sigma Chi Fraternity at Missouri S&T; 2017 Daniel C. Jackling Award by Society for Mining, Metallurgy and Exploration (SME); 2010 Missouri S&T Chancellor’s Leadership Award; Robert H. Quenon Endowed Chair by Missouri S&T, USA (2004); Distinguished Lecturer Award by Canadian Petroleum Institute (1998–2004); 1997 Award of Distinction by World Mining Congress; University of Alberta/Canadian International Development Agency Ph. D. Scholar (1989–1992); Life Patron of George Grant University of Mines and Technology Alumni Association (2001); 1989 Grand Award by the NW Mining Association, UNESCO Research Fellowship (1986–1988) and State Gold Mining Corporation (SGMC) Gold Scholar (1981–1986). Frimpong is a member of APLU Board on Natural Resources, College of Reviewers for Canada Foundation for Innovation and Canada Research Chairs’ Program and ASCE-UNESCO Scientific Committee on Emerging Energy Technologies (ASCE-UNESCO SCEET). He is currently the Editor-In-Chief of the Journal of Powder Metallurgy and Mining; Editor-In-Chief of International Journal of Mining Engineering and Technology; Editor of Research and Reports on Metals; Editorial Board Member for International Journal of Mining Science; Editor of the Journal of MOJ Mining and Metallurgy; Editorial Board Member for International Journal of Mining, Reclamation and Environment; and Associate Editor for Mining and Minerals Engineering. He is a registered professional engineer and a member of the Association of Professional Engineers and Geoscientists of Alberta, Canadian Institute of Mining, Metallurgy and Petroleum, The Society for Mining, Metallurgy, and Exploration (SME), American Society of Civil Engineers (ASCE), and Society for Modeling & Simulation International.

His research interests include formation excavation engineering, mine automation and intelligent mining systems, synthetic and renewable energy, machine dynamics and fatigue modeling, and mine safety and health.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wardeh, M.A., Frimpong, S. Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator. Int. J. Autom. Comput. 17, 527–538 (2020). https://doi.org/10.1007/s11633-019-1217-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11633-019-1217-4

Keywords

Navigation