Browse > Article
http://dx.doi.org/10.5139/IJASS.2004.5.1.030

Longitudinal Automatic Landing in AdaptivePID Control Law Under Wind Shear Turbulence  

Ha, Cheol-keun (School of Transportation Systems Engineering, University of Ulsan)
Ahn, Sang-Won (School of Transportation Systems Engineering, University of Ulsan)
Publication Information
International Journal of Aeronautical and Space Sciences / v.5, no.1, 2004 , pp. 30-38 More about this Journal
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;
Citations & Related Records
연도 인용수 순위
  • Reference
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 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
5 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
6 Franklin, G.F., Powell, J.D., and Emami-Naeini, A., Feedback Control of Dynamic Systems, Addison-Wesley Pub., 1994
7 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
8 King, P.J. and Mandami, E.H., 'The Application of Fuzzy Control Systems to Industrial Control,' Automatica, Vol.13, pp.235-242, 1977   DOI   ScienceOn
9 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
10 Klehr, J.T.,'Wind Shear Simulation Enters The Fourth Dimension,' ICAO Bull. May 23-25, 1986
11 Tong, R.M., 'Fuzzy Control Systems : A Retrospective,' Proceedings of American Control Conference, San Francisco, July 1983
12 Stevens, B.L. and Lewis, F.L., Aircraft Control and Simulation, John Wiley & Sons, Inc., 1992
13 MIL-F-8785C, US. Dept. of DefenceMilitary Specification: Flying Qualities of Piloted Airplanes, Nov. 5, 1980
14 Blakelock, J.H., Automatic Control of Aircraft and Missiles, Willey Interscience, 1991
15 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
16 Hayashi, S., 'Auto-tuning Fuzzy Logic Controller,' Proceedings of the IFSA '91, Interational Fuzzy Systems Associates, 1991, pp.41-44