Advertisement

Journal of Systems Science and Complexity

, Volume 32, Issue 2, pp 557–576 | Cite as

The Separate Meter in Separate Meter Out Control System Using Dual Servo Valves Based on Indirect Adaptive Robust Dynamic Surface Control

  • Guangrong Chen
  • Junzheng Wang
  • Shoukun Wang
  • Jiangbo Zhao
  • Wei ShenEmail author
Article
  • 36 Downloads

Abstract

Due to the demand for energy efficiency in electro-hydraulic systems, the separate meter in and separate meter out (SMISMO) control system attracts vast attention. In this paper, the SMISMO control system was configured with two servo valves to control the meter in and meter out separately. By designing two of the proposed indirect adaptive robust dynamic surface controllers (IARDSC) for the working-side and off-side system and setting the coupled items as estimated parameters, the SMISMO control system was decoupled into two subsystems completely. Here, indirect adaptive robust control (IARC) was employed to address the internal parameter uncertainties and external disturbances. Dynamic surface control (DSC) was utilized in the backstepping design procedure of IARC to deal with the inherent ‘explosion of terms’ problem. As thus, the proposed IARDSC could simplify the design procedure, decrease the computational cost, and achieve an improved control performance in practical use. Finally, experimental results validated the effectiveness of proposed IARDSC and showed that the proposed SMISMO control system could provide a possibility to save more energy.

Keywords

Dynamic surface control indirect adaptive robust control parameter estimation SMISMO stability analysis 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Fischer E, Sitte A, Weber J, et al. Performance of an electro-hydraulic active steering system, 10th International Fluid Power Conference, Dresden, 2016, 375–386.Google Scholar
  2. [2]
    Koivumaki J and Mattila J, An energy-efficient high performance motion control of a hydraulic crane applying virtual decomposition control, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013, 4426–4433.Google Scholar
  3. [3]
    Wang S K, Wang J Z, and Zhao J B, A high performance energy saving electro-hydraulic servo control circuit, CN102588358B, 2015.Google Scholar
  4. [4]
    Mattila J, Koivumaki J, Caldwell D G, et al., A survey on control of hydraulic robotic manipulators with projection to future trends, IEEE/ASME Transactions on Mechatronics, 2017, 22(2): 669–680.CrossRefGoogle Scholar
  5. [5]
    Chen G, Wang J, Ma L, et al., Observer-based and energy saving control of single-rod electrohydraulic servo system diven by servo motor, 2015 American Control Conference, 2015, 2224–2229.CrossRefGoogle Scholar
  6. [6]
    Lu L and Yao B, Energy-saving adaptive robust control of a hydraulic manipulator using five cartridge valves with an accumulator, IEEE Transactions on Industrial Electronics, 2014, 61(12): 7046–7054.CrossRefGoogle Scholar
  7. [7]
    Du C, Plummer A R, and Johnston D N, Performance analysis of an energy-efficient variable supply pressure electro-hydraulic motion control system, Control Engineering Practice, 2016, 48: 10–21.CrossRefGoogle Scholar
  8. [8]
    Ge L, Dong Z, Huang W, et al., Research on the performance of hydraulic excavator with pump and valve combined separate meter in and meter out circuits, International Conference on Fluid Power and Mechatronics (FPM), 2015, 37–41.CrossRefGoogle Scholar
  9. [9]
    Lu L, Yao B, and Liu Z, Energy saving control of a hydraulic manipulator using five cartridge valves and one accumulator, IFAC Proceedings Volumes, 2013, 46(5): 84–90.CrossRefGoogle Scholar
  10. [10]
    Liu S and Yao B, Coordinate control of energy saving programmable valves, IEEE Transactions on Control Systems Technology, 2008, 16(1): 34–45.CrossRefGoogle Scholar
  11. [11]
    Liu Y, Xu B, Yang H, et al., Modeling of separate meter in and separate meter out control system, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2009, 227–232.Google Scholar
  12. [12]
    Liu Y, Xu B, Yang H, et al., Simulation of separate meter in and separate meter out valve arrangement used for synchronized control of two cylinders, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2009, 1665–1670.Google Scholar
  13. [13]
    Chen G R, Wang J Z, Wang S K, et al., Separate meter in and separate meter out energy saving control system using dual servo valves under complex load conditions, Transactions of Beijing Institute of Technology, 2016, 36(10): 1053–1058.Google Scholar
  14. [14]
    Wang J Z, Zhao J B, Wang S K, et al., The separate meter in and separate meter out energy saving control system using dual servo valves and its control method, CN103148041A, 2013.Google Scholar
  15. [15]
    Chen G, Wang J, Wang S, et al., Indirect adaptive robust dynamic surface control in separate meter-in and separate meter-out control system, Nonlinear Dynamics, 2017, 90(2): 951–970.CrossRefzbMATHGoogle Scholar
  16. [16]
    He Y, Wang J, and Hao R, Adaptive robust dead-zone compensation control of electro-hydraulic servo systems with load disturbance rejection, Journal of Systems Science and Complexity, 2015, 28(2): 341–359.MathSciNetCrossRefzbMATHGoogle Scholar
  17. [17]
    Chen G, Wang J, Wang S, et al., Application of a new adaptive robust controller design method to electro-hydraulic servo system, Acta Automatica Sinica, 2016, 42(3): 375–384.CrossRefzbMATHGoogle Scholar
  18. [18]
    Jiang Y and Jiang Z P, A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise, Journal of Systems Science and Complexity, 2015, 28(2): 261–288.MathSciNetCrossRefzbMATHGoogle Scholar
  19. [19]
    Krstic M, Kanellakopoulos I, and Kokotovic P V, Nonlinear and Adaptive Control Design, Wiley, New Jersey, 1995.zbMATHGoogle Scholar
  20. [20]
    Yao B and Tomizuka M, Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form, Automatica, 1997, 33(5): 893–900.MathSciNetCrossRefzbMATHGoogle Scholar
  21. [21]
    Yao B and Palmer A, Indirect adaptive robust control of SISO nonlinear systems in semi-strict feedback forms, IFAC Proceedings Volumes, 2002, 35(1): 397–402.CrossRefGoogle Scholar
  22. [22]
    Swaroop D, Hedrick J K, Yip P P, et al., Dynamic surface control for a class of nonlinear systems, IEEE Transactions on Automatic Control, 2000, 45(10): 1893–1899.MathSciNetCrossRefzbMATHGoogle Scholar
  23. [23]
    Li Z, Chen J, Gan M, et al., Adaptive robust dynamic surface control of DC torque motors with true parameter estimates, American Control Conference (ACC), 2010, 3524–3529.Google Scholar
  24. [24]
    Wang F, Liu Z, Zhang Y, et al., Adaptive fuzzy dynamic surface control for a class of nonlinear systems with fuzzy dead zone and dynamic uncertainties, Nonlinear Dynamics, 2015, 79(3): 1693–1709.CrossRefzbMATHGoogle Scholar
  25. [25]
    Wang H, Wang D, and Peng Z, Adaptive dynamic surface control for cooperative path following of marine surface vehicles with input saturation, Nonlinear Dynamics, 2014, 77(1–2): 107–117.Google Scholar
  26. [26]
    Song H, Zhang T, Zhang G, et al., Robust dynamic surface control of nonlinear systems with prescribed performance, Nonlinear Dynamics, 2014, 76(1): 599–608.MathSciNetCrossRefzbMATHGoogle Scholar
  27. [27]
    He Y, Wang J, ShenW, et al., Indirect adaptive robust dynamic surface control of electro-hydraulic fatigue testing system with huge elastic load, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2016, 230(2): 115–129.Google Scholar
  28. [28]
    Yao B, Bu F, Reedy J, et al., Adaptive robust motion control of single-rod hydraulic actuators: Theory and experiments, IEEE/ASME Transactions on Mechatronics, 2000, 5(1): 79–91.CrossRefGoogle Scholar
  29. [29]
    Chen G, Wang J, Wang S, et al., Energy saving control in separate meter in and separate meter out control system, Control Engineering Practice, 2018, 72: 138–150.CrossRefGoogle Scholar
  30. [30]
    Totten G E, Handbook of Hydraulic Fluid Technology, CRC Press, Boca Raton, 2011.CrossRefGoogle Scholar

Copyright information

© The Editorial Office of JSSC & Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  • Guangrong Chen
    • 1
    • 2
  • Junzheng Wang
    • 1
    • 2
  • Shoukun Wang
    • 1
    • 2
  • Jiangbo Zhao
    • 1
    • 2
  • Wei Shen
    • 1
    • 2
    Email author
  1. 1.The Key Laboratory of Drive and Control of Servo Motion SystemsBeijing Institute of TechnologyBeijingChina
  2. 2.The Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of TechnologyBeijingChina

Personalised recommendations