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Longitudinal Automatic Landing in AdaptivePID Control Law Under Wind Shear Turbulence

Ha, Cheol-keun;Ahn, Sang-Won

  • Published : 2004.06.30

Abstract

This paper deals with a problem of automatic landing guidance and control ofthe longitudinal airplane motion under the wind shear turbulence. Adaptive gainscheduled PID control law is proposed in this paper. Fuzzy logic is the main part ofthe adaptive PID controller as gain scheduler. To illustrate the successful applicationof the proposed control law to the automatic landing control problem, numericalsimulation is carried out based on the longitudinal nonlinear airplane model excited bythe wind shear turbulence. The simulation results show that the automatic landingmaneuver is successfully achieved with the satisfactory performance and the gainadaptation of the control law is made adequately within the limited gains.

Keywords

automatic landing;adaptive gain scheduled controller;fuzzy logic

References

  1. Kim, B. and Ha, C., 'Design of Lateral Guidance and Control System for Auto-landing,' Proceedings of the KSAS Fall Annual Meeting 2002, Bokwang Whitneypark Hotel, 2002. 11. 8-9., pp.1317-1320
  2. Kaminer, I., Pascoal, A.M., PKhargonekar, P.P., and E. Coleman, 'A Velocity Algorithm for Implementation of Nonlinear Gain Scheduled Controller,' Automatica, Vo1.37, pp.1185-1191, 1995
  3. Barton, D.K., Modem Radar System Analysis, Artech House, London, UK 1988
  4. Cohen, C.E. and Pervan, B., 'Real-Time Flight Test Evaluation of The GPS Marker Beacon Concept for Category m Kinematic GPS Precision Landing,' I0N GPS-93, Sept. 22, 1993
  5. Klehr, J.T.,'Wind Shear Simulation Enters The Fourth Dimension,' ICAO Bull. May 23-25, 1986
  6. King, P.J. and Mandami, E.H., 'The Application of Fuzzy Control Systems to Industrial Control,' Automatica, Vol.13, pp.235-242, 1977 https://doi.org/10.1016/0005-1098(77)90050-4
  7. Tong, R.M., 'Fuzzy Control Systems : A Retrospective,' Proceedings of American Control Conference, San Francisco, July 1983
  8. Stevens, B.L. and Lewis, F.L., Aircraft Control and Simulation, John Wiley & Sons, Inc., 1992
  9. MIL-F-8785C, US. Dept. of DefenceMilitary Specification: Flying Qualities of Piloted Airplanes, Nov. 5, 1980
  10. Blakelock, J.H., Automatic Control of Aircraft and Missiles, Willey Interscience, 1991
  11. Takagi, T. and Sugeno, M., 'Fuzzy Identification of Systems and Its Applications to Modeling and Control,' IEEE Transactions on Systems, Man and Cybemetics, Vo1.15, No.l, 1985, pp.116-132
  12. Hayashi, S., 'Auto-tuning Fuzzy Logic Controller,' Proceedings of the IFSA '91, Interational Fuzzy Systems Associates, 1991, pp.41-44
  13. Kurdjukov, A., Pavlov, B. V., and Timin, V. N., 'Longitudinal Flight Control in Windshear Via H-inf Methods,' Proceedings of the 1996 AIAA Guidance, Navigation, and Control Conference
  14. Ha, C., Park, Y. and Yoon, S., 'Design and Evaluation of Auto-landing Guidance and Control System in Longitudinal and Lateral Motion,' Proceedings of The llth Guidance Weapon Conference, ADD, Oct. 25, 2001, pp.249-252
  15. Franklin, G.F., Powell, J.D., and Emami-Naeini, A., Feedback Control of Dynamic Systems, Addison-Wesley Pub., 1994
  16. Ha, C. and Ahn, S., 'Automatic Landing in Adaptive Gain Scheduled PID Control Law, (FE04-5) 2003 ICASE Intemational Conference, Kyeoungju Korea, 0ct.22-25, 2003, pp.2345-2348