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Design of Force Control System for a Hydraulic Road Simulator Using Quantitative Feedback Theory

정량적 피드백 이론을 이용한 유압 로드 시뮬레이터에 관한 힘 제어계 설계

  • 김진완 (전남대학교 대학원 기계학과) ;
  • 현동길 (전남대학교 대학원 기계공학과) ;
  • 김영배 (전남대학교 기계시스템공학부)
  • Published : 2007.11.01

Abstract

This paper presents the road simulator control technology for reproducing the road input signal to implement the real road data. The simulator consists of the hydraulic pump, servo valve, hydraulic actuator and its control equipment. The QFT(Quantitative Feedback Theory) is utilized to control the simulator effectively. The control system illustrates a tracking performance of the closed-loop controller with low order transfer function G(s) and pre-filter F(s) for a parametric uncertain model. A force controller is designed to communicate the control signal between simulator and digital controller. Tracking specification is satisfied with upper and lower bound tolerances on the steep response of the system to the reference signal. The efficacy of the QFT force controller is verified through the numerical simulation, in which combined dynamics and actuation of the hydraulic servo system are tested. The simulation results show that the proposed control technique works well under uncertain hydraulic plant system. The conventional software (Labview) is used to make up for the real controller in the real-time basis, and the experimental works show that the proposed algorithm works well for a single road simulator.

Keywords

Hydraulic Road Simulator;Force Control System;Hydraulic Servo System;Quantitative Feedback Theory(QFT);Robust Control;Uncertain Plant

References

  1. Chait, Y. and Hollot, C.V., 1990, 'A Comparison Between $H_{\infty}$ Methods and QFT for a single-loop Plant with Both Parametric Uncertainty and Performance Specifications,' Recent Development in Quantitative Feedback Theory, ASME WAM Config., O.D.I. Nwokah, ed., pp. 33-40
  2. Horowitz, I.M., 1963, 'Synthesis of Feedback Systems,' Academic Press, New York
  3. Horowitz, I.M. and Sidi, M., 1972, 'Synthesis of feedback systems with large plant ignorance for prescribed time-domain tolerance,' Int.J. Control, 16(2), pp. 287-309 https://doi.org/10.1080/00207177208932261
  4. Shaked, U., Horowitz, I.M. and Glode, S., 1976, 'Synthesis of Multivariable Basically Non-interacting Systems with Significant Plant Uncertainty,' Automatica, Vol. 12, pp. 61-71 https://doi.org/10.1016/0005-1098(76)90069-8
  5. Horowitz, I.M., 1982, 'Improved Design Technique for Uncertain Multi Input Multi Output Feedback Systems,' Int.J. Control, Vol. 36, No. 6, pp. 977-988 https://doi.org/10.1080/00207178208932948
  6. Yaniv, O. and Horowitz. I.M., 1986, 'A Quantitative Design Method for MIMO Linear Feedback Systems Having Uncertain Plants,' Int.J. Control, 43, pp. 402-421 https://doi.org/10.1080/00207178608933474
  7. Horowitz, I.M., 1992, 'Quantitative Feedback Theory(QFT),' QFT Publication, 4470 Grinnell Ave., Boulder, Colorado, 80303
  8. Chait, Y. and Yaniv, O., 1993-2003, 'Quantitative Feedback Theory Toolbox User's Guide,' Terasoft Inc
  9. Park, M.S., 1994, 'A New Approach to Multivariable Quantitative Feedback Theory,' Ph.D. Thesis, Uni. of Massachusetts, Amherst, MA
  10. Park, M.S. and Lee, J.W., 1998, 'Direct Multivariable Quantitative Feedback Theory,' Trans. of the KSME (A) Vol. 22, No. 3, pp. 562-568
  11. Katsuhiko, O., 2002, 'Modern Control Engineering,' Prentice Hall, Inc
  12. Thayer, W.J., 1965, 'Transfer Functions for Moog Servo valves,' Moog Inc
  13. Jeong, S., Kim, J. and Ryu, S., 2001, 'A Study on Operational Software Development and Calibration of Multi-axis Vibrating Testing Device,' Transactions of KSAE, 9(2), pp. 143-151
  14. Lee, S.R., Kim, H.Y. and Moon, Y.J., 1994, 'Study for the Design of Hydraulic Load Simulator,' Trans. of the KSME, Vol. 18, No. 1, pp. 44-52
  15. Ziegler, J.G. and Nichols, N.B., 1942, 'Optimum Settings for Automatic Controllers,' ASME Trans.64, pp. 759-768
  16. D'Azzo, J.J. and Houpis, C.H., 1988, 'Linear Control System Analysis,' McGraw-Hill Inc
  17. Borghesani, C., 1993, 'Computer Aided Design of Robust Control Systems Using the Quantitative Feedback Theory,' M.S. Thesis, Mechanical Engineering Department, University of Massachusetts, Amherst, MA
  18. Zang, R., Alleyene and Prasetiwan, E., 2002, 'Modeling and $H_2/H_{\infty}$ MIMO Control of an Earthmoving Power Train,' ASME, J.of Dynamic System, Measurement Control, 124(4), pp. 625-636 https://doi.org/10.1115/1.1515326

Cited by

  1. Design of Quantitative Feedback Control System for the Three Axes Hydraulic Road Simulator vol.32, pp.3, 2008, https://doi.org/10.3795/KSME-A.2008.32.3.280