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Friction Characteristics of a Cylinder Based on a Bridge-Type Pneumatic Energy-saving Circuit

  • Hongwang Du
  • Wei XiongEmail author
  • Zhong’ai Jiang
  • Qiu Li
  • Lu Wang
Regular Papers Control Theory and Applications
  • 13 Downloads

Abstract

A bridge-type energy-saving circuit is a new type of pneumatic system that uses four on-off valves to control the inlet and exhaust of two cylinder chambers. It saves energy through the open-and-close sequence of the four control valves. Cylinder friction is the key factor in accuracy and stability of the bridge-type pneumatic energysaving circuit. This paper focuses on research of the circuit’s friction characteristics. Based on friction theory and the classic Stribeck model, a composite dynamic friction model of a cylinder in a circuit system is established, and a cylinder friction test platform is constructed. The Nelder-Mead algorithm is used to identify static parameters of the model through the relationship between friction and velocity while the piston is moving. Friction model verification with error analysis is achieved by comparison with the traditional friction model. Experiments with the energy-saving circuit under certain conditions are carried out to illustrate the effectiveness of the composite dynamic friction model. Finally, compared with existing friction model, the validity of the model is proved to be applicable to different working conditions.

Keywords

Bridge-type pneumatic energy-saving circuit composite dynamic friction model cylinder friction parameter identification 

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References

  1. [1]
    K. Gennadyj, M. Strizhak, and V. Strizhak, “The synthesis of structure and parameters of energy efficient pneumatic actuator,” Eastern–European Journal of Enterprise Technologies, vol. 1, no. 7, pp. 85–91, February 2017.Google Scholar
  2. [2]
    V. Nazari and B Surgenor, “Improved position tracking performance of a pneumatic actuator using a fuzzy logic controller with velocity, system lag and friction compensation,” International Journal of Control Automation & Systems, vol. 14, no. 5, pp. 1376–1388, October 2016.CrossRefGoogle Scholar
  3. [3]
    D. Slija, S. Dudic, and I. Milenkovic, “Cost effectiveness analysis of pressure regulation method on pneumatic cylinder circuit,” International Energy Journal, vol. 17, no. 2, pp. 89–98, June 2017.Google Scholar
  4. [4]
    G. Yang, J. M. Du, X. Y. Fu, et al, “Asymmetric fuzzy control of a positive and negative pneumatic pressure servo system,” Chinese Journal of Mechanical Engineering, vol. 30, no. 6, pp. 1438–1446, November 2017.CrossRefGoogle Scholar
  5. [5]
    M. Budt, D. Wolf, R. Span, et al, “A review on compressed air energy storage: basic principles, past milestones and recent developments,” Applied Energy, vol. 170, no. 1, pp. 250–268, May 2016.CrossRefGoogle Scholar
  6. [6]
    Y. Shi, T. Wu, M. Cai, et al, “Energy conversion characteristics of a hydropneumatic transformer in a sustainableenergy vehicle,” Applied Energy, vol. 171, no. 1, pp. 77–85, June 2016.CrossRefGoogle Scholar
  7. [7]
    M. M. Yusop, Energy–saving for Pneumatic Actuation Using Dynamic Model Prediction, Cardiff University, 2006.Google Scholar
  8. [8]
    M. Doll, R. Neumann, and O. Sawodny, “Energy efficient use of compressed air in pneumatic drive systems for motion tasks,” Proc. of International Conference on Fluid Power and Mechatronics, pp. 340–345, August 2011.CrossRefGoogle Scholar
  9. [9]
    P. Harris, S. Nolan, and G. E. O’Donnell, “Energy optimization of pneumatic actuator systems in manufacturing,” Journal of Cleaner Production, vol. 72, no. 6, pp. 35–45, June 2014.CrossRefGoogle Scholar
  10. [10]
    X. G. Shen and M. Goldfarb, “Energy–saving in pneumatic servo control utilizing interchamber cross–flow,” Journal of Dynamic Systems, Measurement, and Control, vol. 129, no. 1, pp. 303–310, May 2007.CrossRefGoogle Scholar
  11. [11]
    J. Wang, T. Gordon, “Energy optimal control of servopneumatic cylinders through nonlinear static feedback linearization,” Journal of Dynamic Systems, Measurement, and Control, vol. 134, no. 5, pp. 1–11, Sep. 2012.Google Scholar
  12. [12]
    A. Yang, J. Pu, and C. B. Wong, “By–pass valve control to improve energy efficiency of pneumatic drive system,” Control Engineering Practice, vol. 17, no. 1, pp. 623–628, June 2009.CrossRefGoogle Scholar
  13. [13]
    V. Blagojevic, et al, “Efficient control of servo pneumatic actuator system utilizing by–pass valve and digital sliding mode,” Indian Academy of Sciences, vol. 38, no. 2, pp. 187–197, April 2013.MathSciNetzbMATHGoogle Scholar
  14. [14]
    S. Kobayashi, T. Kaneko, and M. Ikeya, “Friction Force Characteristics between Piston and Cylinder Bore for Startup and Low Speed Operation in Swashplate Type Axial Piston Motors,” Transactions of the Japan Hydraulics & Pneumatics Society, vol. 22, no. 7, pp. 807–814, April 1991.CrossRefGoogle Scholar
  15. [15]
    J. Huang, X. N. Li, “Study on friction force model of cylinder in low–speed motion,” Machine Tool & Hydraulics, vol. 11, no. 1, pp. 73–74, May 2005.Google Scholar
  16. [16]
    Y. J. Zhan, T. Wang, and B. Wang, “Study on friction characteristics of energizing pneumatic cylinders,” Advanced Materials Research, vol. 904, no. 5, pp. 306–310, March 2014.CrossRefGoogle Scholar
  17. [17]
    D. Y. Meng and G. L. Tao, “Adaptive robust motion trajectory tracking control of pneumatic cylinders with Lu–Gre model–based friction compensation,” Chinese Journal of Mechanical Engineering, vol. 27, no. 4, pp. 802–815, July 2014.CrossRefGoogle Scholar
  18. [18]
    H. Xiang, “Adaptive friction compensation based on LuGre model,” Journal of Mechanical Engineering, vol. 48, no. 17, pp. 70–74, January 2012.CrossRefGoogle Scholar
  19. [19]
    B. T. Xuan and H. Yanada, “Dynamic friction behaviors of pneumatic cylinders,” Intelligent Control and Automation, vol. 4, no. 1, pp. 189–190, January 2013.Google Scholar
  20. [20]
    J. Ali, M. Saeed, and N. A. Chaudhry, “Low cost efficient remedial strategy for stagnated Nelder Mead simplex method,” Pakistan Journal of Science, vol. 69, no. 1, pp. 119–126, March 2017.Google Scholar
  21. [21]
    F. M. Siam, M. H. Kamal, and F. Johar, “Parameter estimation for a mechanistic model of high dose irradiation damage using Nelder–Mead simplex method and genetic algorithm,” Journal Technology, vol. 78, no. 12, pp. 87–92, January 2016.Google Scholar
  22. [22]
    H. Akbari–Alashti, O. B. Haddad, and Mariño M A, “Application of fixed length gene genetic programming (FLGGP) in hydropower reservoir operation,” Water Resources Management, vol. 29, no. 9, pp. 1–14, July 2015.Google Scholar
  23. [23]
    J. A. Nelder and R. Mead, “A simplex method for function minimization,” Commput J, vol. 7, no. 4, pp. 308–313, January 1965.MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Hongwang Du
    • 1
  • Wei Xiong
    • 1
    Email author
  • Zhong’ai Jiang
    • 1
  • Qiu Li
    • 1
  • Lu Wang
    • 1
  1. 1.Ship Electromechanical Equipment InstituteDalian Maritime UniversityDalianChina

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