Skip to main content

Modeling and 3D Simulation of an Electro-hydraulic Manipulator Controlled by Vision System with Kalman Filter

  • Conference paper
  • First Online:
Advances in Manufacturing

Abstract

In this paper, the modeling and 3D simulation of electro-hydraulic manipulator are presented. In the research, a typical model of electro-hydraulic servo drives is implemented. The output value in the model is a position of a drive; this information is used to compute tilt angles in manipulator’s joints. Proposed simulation environment is used to testing new control algorithms. Online controlling and 3D visualization can precisely reflect manipulator trajectory. Data from camera is used and three algorithms of estimation of marker position are tested; these are circle fitting method, center of mass, and Kalman filter (KF). The virtual manipulator data is compared with real manipulator data and error analysis is given. The proposed method yields good results with positioning error of tool center point less than 0.5 cm.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 389.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 499.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Electro-hydraulic rear-axle steering for mobile cranes. IEEE Control Syst. 24(5), 16–17 (2004)

    Google Scholar 

  2. Yan, T.: Notice of retraction analysis and design on air controlled hydraulic system about dump truck lifting mechanisms. In: 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011, pp. 5405–5408

    Google Scholar 

  3. Ahn, K.K., Yang, S.Y.: Robust force control of a 6 link electro-hydraulic manipulator. In: 4th Korea-Russia International Symposium on Science and Technology, KORUS, 2000, vol. 3, pp. 78–83

    Google Scholar 

  4. Lazar, C. Caruntu, C.F. Balau, A.E.: Modelling and predictive control of an electro hydraulic actuated wet clutch for automatic transmission. In: 2010 IEEE International Symposium on Industrial Electronics (ISIE), 2010, pp. 256–261

    Google Scholar 

  5. Razintsev, V.I., Kulikov, S.N., Volkov, S.V., Razintseva, L.A.: Microprocessor-controlled electrohydraulic power amplifiers. Russ. Engin. Res. 33(7), 385–388 (2013)

    Article  Google Scholar 

  6. Nikitin, O.F.: Machine regulation volume hydraulic drive with reciprocating motion of hydraulic motors. In: International Conference on Fluid Power and Mechatronics (FPM), 2015, pp. 593–595

    Google Scholar 

  7. Chengbin, W., Long, Q.: Study on simulation and experiment of hydraulic excavators work device based on simulation X. In: International Conference on Electric Information and Control Engineering (ICEICE), 2011, pp. 1742–1745

    Google Scholar 

  8. Zhixin, D. Long, Q.: Modeling and simulation of driving system for large hydraulic excavator. In: International Conference on Fluid Power and Mechatronics (FPM), 2011, pp. 669–674

    Google Scholar 

  9. Owczarek, P., Goslinski, J.: An estimation of central points of circle markers in a vision system by using Kalman filter and complementary filter. In: 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015, pp. 940–945

    Google Scholar 

  10. Owczarek, P., Goslinski, J., Rybarczyk, D., Kubacki, A.: Control of an electro-hydraulic manipulator by vision system using central point of a marker estimated via Kalman filter. In: Szewczyk, R., Zieliski, C., Kaliczyska, M. (eds.) Challenges in Automation, Robotics and Measurement Techniques, pp. 587–596. Springer, Berlin (2016)

    Google Scholar 

  11. Net New Electronic Technology GMBH. http://net-gmbh.com/

  12. Adaptive Vision Studio. https://www.adaptive-vision.com/en/home/

  13. Osiecki, A.: Hydrostatic Drive of Machines. 2nd ed. WNT, Warsaw (2004). (in Polish)

    Google Scholar 

  14. Kalman, R.E.: A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng., Ser. D 82, 35–45 (1960)

    Article  Google Scholar 

  15. Shimomura, K., Morita, T., Electro-hydraulic Two-Axle Steering System for City Crane. Kobelco Technology Review. pp. 41–46, (2013)

    Google Scholar 

Download references

Acknowledgements

The presented research results were funded with grants for education allocated by the Ministry of Science and Higher Education in Poland. Grant no. 02/22/DSMK/1406 and 02/22/DSPB/1389 Poland.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Piotr Owczarek .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Owczarek, P., Goslinski, J., Rybarczyk, D., Kubacki, A., Jakubowski, A., Sawicki, L. (2018). Modeling and 3D Simulation of an Electro-hydraulic Manipulator Controlled by Vision System with Kalman Filter. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds) Advances in Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-68619-6_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68619-6_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68618-9

  • Online ISBN: 978-3-319-68619-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics