Skip to main content

Controlling Strategy of Rail Grinding Mechanism for the Constant Working Power

  • Conference paper
  • First Online:

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 79))

Abstract

The rail grinding mechanism comprises grinding subsystem and pressing subsystem. The grinding subsystem, in which the grinding wheel is directly driven by a motor, is mounted to a platform whose posture is adjusted by three pressing cylinders. The platform and pressing cylinders compose the pressing subsystem. The two subsystems are dynamically coupled but actuated separately. This paper focuses on design of controlling system for rail grinding mechanism to realizing constant grinding power. To this end, two controllers are designed to control the subsystems respectively. For the grinding subsystem, PI controller is employed to keep the grinding angular velocity of the motor to be constant. And for the pressing subsystem, two Active Disturbance Rejection Controllers (ADRC) are used to control the pressure in the rear end and the displacement of proportional decompressing valve element respectively, it insures that the pressing force, furthermore, the grinding torque is constant. The effectiveness of the controller is demonstrated by the results of simulation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
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

Learn about institutional subscriptions

References

  1. Altintas, Y.: Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design. Cambridge University Press, Cambridge (2012)

    Google Scholar 

  2. Craig, J.J.: Introduction to Robotics: Mechanics and Control, 4th edn. Pearson Education Inc., London (2018)

    Google Scholar 

  3. Liu, C.: Foundations of MEMS, 2nd edn. Pearson Education Inc., London (2012)

    Google Scholar 

  4. Chen, C., Chang, Y., Tsao, T.: Dynamic trajectory tracking by synergistic dual-stage actuation and control. IEEE/ASME Trans. Mechatron. 22(6), 2600–2610 (2017)

    Article  Google Scholar 

  5. Qiu, L., Shi, Y., Pan, J.: Positioning-tracking controller design of a linear motion control system based on vectorization technique. IEEE/ASME Trans. Mechatron. 23(4), 1512–1520 (2018)

    Article  Google Scholar 

  6. Rezayi, S., Arbabtafti, M.: A new model-based control structure for position tracking in an electro-hydraulic servo system with acceleration constraint. J. Dyn. Syst. Meas. Control. 139(12), 121006-1-21006-121011 (2017)

    Google Scholar 

  7. Wu, X., Shen, W., Lou, P., et al.: An automated guided mechatronic tractor for path tracking of heavy-duty robotic vehicles. Mechatronics 35, 23–31 (2016)

    Article  Google Scholar 

  8. Dymov, I.S., Kotin, D.A.: Synthesis of automatic control system of the rotor axial displacement of the mechatronic motion module. In: 11th International Forum on Strategic Technology (IFOST), pp. 48–51 (2016)

    Google Scholar 

  9. Flores-Hernández, D.A., Palomino-Resendiz, S., Lozada-Castillo, N., et al.: Mechatronic design and implementation of a two axes sun tracking photovoltaic system driven by a robotic sensor. Mechatronics 47, 148–159 (2017)

    Article  Google Scholar 

  10. Keck, A., Sawodny, O., Gronle, M., et al.: Model-based compensation of dynamic errors in measuring machines and machine tools. IEEE/ASME Trans. Mechatron. 23(5), 2252–2262 (2018)

    Article  Google Scholar 

  11. Assaad, B., Benkara, K.E., Friedrich, G., et al.: An advanced simulation tool for considering the electric machines thermal performance in mechatronic systems. In: 11th France-Japan & 9th Europe-Asia Congress on Mechatronics (MECATRONICS)/17th International Conference on Research and Education in Mechatronics (REM), pp. 197–202 (2016)

    Google Scholar 

  12. Pushpkant, Jha, S.K.: Comparative study of different classical and modern control techniques for the position control of sophisticated mechatronic system. Procedia Comput. Sci. 93, 1038–1045 (2016)

    Article  Google Scholar 

  13. Zeng, H., Yu, G., et al.: Design of rail grinding control system. Electr. Drive Locomot. 4, 79–82 (2018). (in Chinese)

    Google Scholar 

  14. Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906 (2009)

    Article  Google Scholar 

  15. Duindam, V., Macchelli, A., Stramigioli, I.S., Bruyninckx, H. (eds.): Modeling and Control of Complex Physical System. Springer, Berlin (2009)

    MATH  Google Scholar 

  16. King, R.I., Hahn, R.S.: Handbook of Modern Grinding Technology. Springer, New York (1986)

    Google Scholar 

  17. Jin, X.-S., Wang, K.-Y., et al.: Effect of rail corrugation on vertical dynamics of railway vehicle coupled with a track. Acta. Mech. Sin. 21(1), 95–102 (2005)

    Article  Google Scholar 

  18. Xia, Y., Fu, M.: Overview of ADRC. In: Compound Control Methodology for Flight Vehicles, Lecture Notes in Control and Information Science, vol. 438. Springer (2013)

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the financial support of NSFC (National Natural Science Foundation of China) under the grant No. 51575457.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Xie .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xie, J., Yi, Z., Liu, Z. (2020). Controlling Strategy of Rail Grinding Mechanism for the Constant Working Power. In: Wang, D., Petuya, V., Chen, Y., Yu, S. (eds) Recent Advances in Mechanisms, Transmissions and Applications. MeTrApp 2019. Mechanisms and Machine Science, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-15-0142-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0142-5_42

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0141-8

  • Online ISBN: 978-981-15-0142-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics