Skip to main content
SpringerLink
Log in

Velocity control of a secondary controlled closed-loop hydrostatic transmission system using an adaptive fuzzy sliding mode controller

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

A secondary-controlled hydrostatic transmission system (SC-HST), which considered being an energy-saving system, can recuperate most of the lost vehicle kinetic energy in decelerating and braking time and it shows advantage in fuel economy improvement of vehicle. Almost secondary control units (SCU) in SC-HST inherently contain nonlinear characteristics such as dead-zone input. Therefore, it is difficult to obtain precise position or velocity control by conventional linear controllers. This problem limits the application of SC-HST in industry and mobile vehicle. This paper gives a description of SC-HST and proposes an adaptive fuzzy sliding mode controller (AFSMC) for velocity control of SCU. Experiments were carried out in the condition of disturbance load by using both the proposed controller and PID controller for the comparison and evaluation of the effectiveness of the proposed controller. The experimental results showed that the proposed controller was excellent from the standpoints of performance and stability for the velocity control of SC-HST.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. K. E. Rydberg, Concepts and development trends for efficiency improvement of hydrostatics in mobile applications, SAE (1) (2002) 1422.

    Google Scholar 

  2. H. Berg and M. Ivantysynova, Design and testing of a robust linear controller for secondary controlled hydraulic drive, IMechE, 213 (1999) 375–386.

    Article  Google Scholar 

  3. R. Kordak, Hydrostatic transmission drives with secondary control, Bosh Rexroth AG (2003).

    Google Scholar 

  4. G. P. Liu and S. Daley, Optimal-tuning PID controller design in the frequency-domain with application to rotary hydraulic systems, Control Engineer Practice, 7 (1999) 821–830.

    Article  Google Scholar 

  5. G. P. Liu and S. Daley, Optimal-tuning nonlinear PID control of hydraulic systems, Control Engineer Practice, 8 (2000) 1045–1053.

    Article  Google Scholar 

  6. H. Zhang, Y. Shi and A. S. Mehr, Robust static output feedback control and remote PID design for networked motor systems, IEEE Transactions On Industrial Electronics, 58 (2011) 5396–5405.

    Article  Google Scholar 

  7. H. Zhang, Y. Shi and A. S. Mehr, Robust H∞ PID control for multivariable networked control systems with disturbance/noise attenuation, Int. J. Robust. Nonlinear Control, 22 (2012) 183–204.

    Article  MathSciNet  MATH  Google Scholar 

  8. H. Zhang, Y. Shi and A. S. Mehr, Robust non-fragile dynamic vibration absorbers with uncertain factors, Journal of Sound and Vibration, 330 (2011) 559–566.

    Article  Google Scholar 

  9. H. Zhang, Y. Shi and A. S. Mehr, Robust weighted H∞ filtering for networked systems with intermittent measurements of multiple sensors, Int. J. Adapt. Control Signal Process, 25 (2011) 313–330.

    Article  MathSciNet  MATH  Google Scholar 

  10. H. Zhang, Y. Shi and A. S. Mehr, On H∞ filtering for discrete-time Takagi-Sugeno fuzzy systems, IEEE Transactions On Fuzzy Systems, 20 (2012) 369–401.

    Google Scholar 

  11. H. Zhang, Y. Shi and A. S. Mehr, Robust energy-to-peak filtering for networked systems with time-varying delays and randomly missing data, IET Control Theory Appl., 4 (2010) 2921–2936.

    Article  MathSciNet  Google Scholar 

  12. H. Zhang, Y. Shi and A. S. Mehr, Improved robust energy-to-peak filtering for uncertain linear systems, Signal Processing, 90 (2010) 2667–2675.

    Article  MATH  Google Scholar 

  13. H. Zhang, Y. Shi, A. S. Mehr and H. N. Huang, Robust FIR equalization for time-varying communication channels with intermittent observations via an LMI approach, Signal Processing, 91 (2011) 1651–1658.

    Article  MATH  Google Scholar 

  14. K. M. Passino, Fuzzy control, Addison-Wesley (1998).

    Google Scholar 

  15. R. E. Precup, S. Preitl, I. J. Rudas, M. L. Tomescu and J. K. Tar, Design and experiments for a class of fuzzy controlled servo systems, IEEE/ASME, Trans. Mechatronic, 13 (2008) 22–35.

    Article  Google Scholar 

  16. H. Du and N. Zhang, Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint, IEEE Transactions on Fuzzy Systems, 17 (2009) 343–356.

    Article  Google Scholar 

  17. J. M. Zheng, S. D. Zhao and S. G. Wei, Application of selftuning fuzzy PID controller for a SRM direct drive volume control hydraulic press, Control Engineer Practice, 17 (2009) 1398–1404.

    Article  Google Scholar 

  18. A. Njabeleke, R. Pannett, P. Chawdhry and C. Burrows, Self organising fuzzy logic control of an hydrostatic transmission, UKACC International Conference on control (1998).

    Google Scholar 

  19. X. Yu, Z. Man and B. Wu, Design of fuzzy sliding mode control system, Fuzzy sets and systems, 95 (1998) 295–306.

    Article  MathSciNet  MATH  Google Scholar 

  20. M. H. Chiang and Y. W. Chien, Parallel control of velocity control and energy-saving control for an Hydraulic valvecontrolled cylinder system using self -organizing fuzzy sliding mode control, JSME, 46 (2003) 224–23.

    Google Scholar 

  21. B. J. Choi, S. W. Kwak and B. K. Kim, Design of a singleinput fuzzy logic controller and its properties, Fuzzy Sets Syst., 106 (1999) 299–308.

    Article  MathSciNet  MATH  Google Scholar 

  22. L. X. Wang, Adaptive fuzzy systems and control: Design and stability analysis, Englewood Cliffs, NJ: Prentice-Hall (1994).

    Google Scholar 

  23. H. Lee and M. Tomizuka, Robust adaptive control using a universal approximator for SISO nonlinear systems, IEEE Trans. Fuzzy Syst., 8 (2001) 95–106.

    Google Scholar 

  24. M. H. Chiang, L. W. Lee and H. H. Liu, Adaptive fuzzy sliding-mode control for variable displacement hydraulic servo system, Fuzzy Systems Conference, Fuzzy Systems Conference, IEEE International (2007).

    Google Scholar 

  25. N. Noroozi, M. Roopaei and M. Z. Jahromi, Adaptive fuzzy sliding mode control scheme for uncertain systems, Commun Nonlinear Sci Numer Simulat, 14 (2009) 3978–3992.

    Article  MathSciNet  MATH  Google Scholar 

  26. B. L. V. Batavia, Hydraulic hybrid vehicle energy management system, SAE (1) (2009) 2834.

    Google Scholar 

  27. T. H. Ho and K. K. Ahn, Modeling and simulation of an hydrostatic transmission system with energy recuperation using an hydraulic accumulator, JMST, 24 (2010) 1163–1175.

    Google Scholar 

  28. H. Berg and M. Ivantysynova, Design and testing of a robust linear controller for secondary controlled hydraulic drive, IMechE, 213 (1999) 375–386.

    Article  Google Scholar 

  29. C. S. Kim and C. O. Lee, Speed control of an overcenetered variable displacement hydraulic motor with a load torque observer, Control Engineer Practice, 4 (1996) 1563–1570.

    Article  Google Scholar 

  30. C. S. Kim and C. O. Lee, Robust speed control of a variable-displacement hydraulic motor considering saturation nonlinearity, ASME, 122 (2000) 196–201.

    Article  Google Scholar 

  31. B. Surampudi, A. Nedungadi, G. Ostrowski and A. Montemayor, Design and control considerations for a serial heavy duty hybrid hydraulic vehicle, SAE, 2009-01-2717.

    Google Scholar 

  32. M. G. Rabie, Fluid power engineering, McGraw-Hill, (2009).

    Google Scholar 

  33. H. Lee and M. Tomizuka, Robust adaptive control using a universal approximator for SISO nonlinear systems, IEEE Trans. Fuzzy Syst., 8 (2001) 95–106.

    Google Scholar 

  34. M. J. Pinches and J. G. Ashby, Power hydraulics, Englewood Cliffs, NJ: Prentice-Hall, (1988).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Mechanical and Automotive Engineering, University of Ulsan, Ulsan, Korea

    Hoang Thinh Do

  2. School of Mechanical Engineering, University of Ulsan, Ulsan, Korea

    Kyoung Kwan Ahn

Authors
  1. Hoang Thinh Do
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kyoung Kwan Ahn
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kyoung Kwan Ahn.

Additional information

Recommended by Associate Editor Kyongsu Yi

Hoang Thinh Do received the B.S. degree from Hochiminh City University of Technology in 2010 in Mechanical Engineering, Hochiminh City, Vietnam and M.S degrees from University of Ulsan, Korea in 2013. He is currently a Doctoral candidate in the department of Mechanical and Automotive Engineering, University of Ulsan, Korea. His research interests focus on hydraulic systems and renewable energy.

Kyoung Kwan Ahn received the B.S. degree in the department of Mechanical Engineering from Seoul National University in 1990, the M. Sc. degree in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST) in 1992 and the Ph.D. degree with the title “A study on the automation of out-door tasks using 2 link electro-hydraulic manipulator from Tokyo Institute of Technology in 1999, respectively. He is currently a Professor in the School of Mechanical and Automotive Engineering, University of Ulsan, Ulsan, Korea. His research interests are design and control of smart actuator using smart material, fluid power control and active damping control. He is a Member of IEEE, ASME, SICE, RSJ, JSME, KSME, KSPE, KSAE, KFPS, and JFPS.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Do, H.T., Ahn, K.K. Velocity control of a secondary controlled closed-loop hydrostatic transmission system using an adaptive fuzzy sliding mode controller. J Mech Sci Technol 27, 875–884 (2013). https://doi.org/10.1007/s12206-012-1237-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-012-1237-2

Keywords

Search

Navigation