Dynamics and Control

, Volume 2, Issue 4, pp 363–383 | Cite as

Robust digital control of a high-performance engine

  • Ubaid M. Al-Saggaf


The design of a robust digital multivariable feedback control system for the F-100 turbofan jet engine is considered. The control system design problem is posed, and conditions for satisfying performance specifications and stability robustness are stated. The discrete LQG/LTR methodology is used to design a compensator that meets the stated specifications. New results for multi-input LQR loop shaping are derived. To get a reasonably low-order compensator, frequency-weighted reduced-order models are exploited, with the reduction error treated as an uncertainty.


Control System System Design Feedback Control Design Problem Performance Specification 
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  1. 1.
    L.M. Silverman and M. Bettayeb, “Optimal approximation of linear systems,” inProc. JACC, San Francisco, CA, August 1980.Google Scholar
  2. 2.
    U.M. Al-Saggaf and G.F. Franklin, “Model reduction via balanced realizations: an extension and frequency weighting techniques,”IEEE Trans. Automat. Control, vol. AC-33, no. 7, pp. 684–692, July 1988.Google Scholar
  3. 3.
    U.M. Al-Saggaf and G.F. Franklin, “Reduced order controller design for discrete time systems,”Int. J. System Sci., vol. 22, pp. 1743–1756, 1991.Google Scholar
  4. 4.
    T. Ishihara and H. Takeda, “Loop transfer for recovery techniques for discrete-time optimal regulators using prediction estimators,”IEEE Trans. Automat. Control, vol. AC-31, no. 12, December 1986.Google Scholar
  5. 5.
    J.M. Maciejowski, “Recovery for discrete-time systems,”IEEE Trans. Automat. Control, vol. AC-30, no. 6, pp. 602–605, June 1985.Google Scholar
  6. 6.
    J.B. Moore and T.T. Tay, “Loop recovery viaH /H 2 sensitivity recovery,”Int. J. Control, vol. 49, pp. 1249–1271, April 1989.Google Scholar
  7. 7.
    M.K. Sain et al. (eds),Alternative for Linear Multivariable Control. National Engineering Consortium: Chicago, 1978.Google Scholar
  8. 8.
    R.J. Miller and R.D. Hackney, “F-100 multivariable control system engine model/design criteria,” AFAPL TR-76-74, 1976.Google Scholar
  9. 9.
    E. Kappos,Robust Multivariable Control for the F-100 Engine. M.S. Thesis, Lab. for Information and Decision System, Dept. of Electrical Engineering, (LIDS TH-1328), Massachusetts Institute of Technology, Cambridge, September 1983.Google Scholar
  10. 10.
    M. Athans, P. Kapasouris, E. Kappos, and H.A. Spang III, “Linear-quadratic gaussian with loop-transfer recovery methodology for the F-100 engine,”J. Guidance Control, vol. 9, no. 1, pp. 45–52, January-February 1986.Google Scholar
  11. 11.
    J.C. Doyle and G. Stein, “Multivariable feedback design: concepts for classical/modern synthesis,”IEEE Trans. Automat. Control, vol. AC-26, pp. 4–16, February 1981.Google Scholar
  12. 12.
    D. Enns,Model Reduction for Control System Design. Ph.D. Dissertation, Dept. of Aeronautics and Astronautics, Stanford University, June 1984.Google Scholar
  13. 13.
    C.C. Arcasoy, “Return-Difference-Matrix properties for optimal stationary discrete Kalman filter,” inProc. IEE, vol. 118, no. 12, pp. 1831–1834, December 1971.Google Scholar
  14. 14.
    J.L. Willems and H. Van de Voorde, “The return difference for discrete-time optimal feedback systems,”Automatica, vol. 14, pp. 511–513, 1978.Google Scholar
  15. 15.
    H. Kwakernaak and R. Sivan,Linear Optimal Control Systems. John Wiley and Sons: New York, 1972.Google Scholar
  16. 16.
    U. Shaked, “Explicit solution to the singular discrete-time stationary linear filtering problem,”IEEE Trans. Automat. Control, vol. AC-30, pp. 34–47, January 1985.Google Scholar
  17. 17.
    J.E. Wall, J.C. Doyle, and C.A. Harvey, “Tradeoffs in the design of multivariable feedback systems,” inProc. 18th Allerton Conference on Communication, Control and Computing, October 1980.Google Scholar
  18. 18.
    U. M. Al-Saggaf,On Model Reduction and Control of Discrete Time Systems. Ph.D. Dissertation, Information Systems Laboratory, Dept. of Electrical Engineering, Stanford University, June 1986.Google Scholar

Copyright information

© Kluwer Academic Publishers 1992

Authors and Affiliations

  • Ubaid M. Al-Saggaf
    • 1
  1. 1.Electrical Engineering DepartmentKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia

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