The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Robust Flight Control System Using Neural Networks: Dynamic Surface Design Approach

신경 회로망을 이용한 강인 비행 제어 시스템: 동적 표면 설계 접근

  • 유성진 (연세대학교 전기.전자공학과) ;
  • 최윤호 (경기대학교 전자공학부) ;
  • 박진배 (연세대학교 전기.전자공학과)
  • Published : 2006.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents the adaptive robust control method for the flight control systems with model uncertainties. The proposed control system can be composed simply by a combination of the adaptive dynamic surface control (DSC) technique and the self recurrent wavelet neural network (SRWNN). The adaptive DSC technique provides us with the ability to overcome the 'explosion of complexity' problem of the backstepping controller. The SRWNNs are used to observe the arbitrary model uncertainties of flight systems, and all their weights are trained on-line. From the Lyapunov stability analysis, their adaptation laws are induced and the uniformly ultimately boundedness of all signals in a closed-loop adaptive system is proved. Finally, simulation results for a high performance aircraft (F-16) are utilized to validate the good tracking performance and robustness of the proposed control system.

Keywords

References

  1. C. Papageorgiou and F. Glover, 'Robustness analysis of nonlinear dynamic inversion control laws with application to flight control,' Proc. of IEEE Conf. Decision and Control, pp. 3485-3490, 2004
  2. S. N. Singh, M. L. Steinberg, and A. B. Page, 'Nonlinear adaptive and sliding mode flight path control of F/A-18 model,' IEEE Trans. Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1250-1262, 2003 https://doi.org/10.1109/TAES.2003.1261125
  3. M. Polycarpou, X. Zhang, R. Xu, Y. Yang, and C. Kwan, 'A neural network based approach to adaptive fault tolerant flight control,' Proc. of IEEE Int. Symp, Intelligent Control, pp. 61-66, 2004 https://doi.org/10.1109/ISIC.2004.1387659
  4. C. L. Lin and R. M. Lai, 'A novel approach to guidance and control system design using genetic-based fuzzy logic model,' IEEE Trans. Control Systems Technology, vol. 10, no. 4, pp. 600-610, 2002 https://doi.org/10.1109/TCST.2002.1014679
  5. M. Krstic, I. Kanellakopoulos, and P. Kokotovic, Nonlinear and Adaptive Control Design, NJ: Wiley Interscience, 1995
  6. S. Gopalswamy and J. K. Hedrick, 'Robust adaptive nonlinear control of high performance aircraft,' Proc. of American Control Conference, pp. 1279-1283, 1990
  7. D. Wenhan and S. Xiuxia, 'A backstepping model reference robust controller design for flight control,' Proc. of World Congo Intelligent Control and Automation, pp. 5435-5440, 2004 https://doi.org/10.1109/WCICA.2004.1343769
  8. T. Lee and Y. Kim, 'Nonlinear adaptive flight control using backstepping and neural network controller,' Jour. Guidance, Control, and Dynamics, vol. 24, no. 4, pp. 675-682, 2001 https://doi.org/10.2514/2.4794
  9. D. H. Shin and Y. Kim, 'Reconfigurable flight control system. design using adaptive neural networks,' IEEE Trans. Control System Technology, vol. 12, no. 1, pp. 87-100, 2004 https://doi.org/10.1109/TCST.2003.821957
  10. D. Swaroop, J. K. Hedrick, P. P. Yip, and J. C. Gerdes, 'Dynamic surface control for a class of nonlinear systems,' IEEE Trans. Automatic Control, vol. 45, no 10, pp. 1893-1899, 2000 https://doi.org/10.1109/TAC.2000.880994
  11. S. J. Yoo, J. B. Park, and Y. H. Choi, 'Stable predictive control of chaotic systems using self-recurrent wavelet neural network,' Int. Jour. of Control, Automation, and Systems, vol. 3, no. 1, pp. 43-55, 2005
  12. S. J Yoo, J. B. Park, and Y. H. Choi, 'Direct adaptive control using self recurrent wavelet neural network via adaptive learning rates for stable path tracking of mobile robots,' Proc. of American Control Conference, pp. 288-293, 2005 https://doi.org/10.1109/ACC.2005.1469947
  13. B. L. Stevens and F. L. Lewis, Aircraft Control and Simulation 2nd-ed., NJ: Wiley, 2003
  14. E. A. Morelli, 'Global nonlinear parametric modeling with application to F-16 aerodynamics,' Proc. of American Control Conference, pp. 997-1001, 1998 https://doi.org/10.1109/ACC.1998.703559
  15. F. J. Lin, T. S. Lee, and C. H. Lin, 'Robust $H_{\infty}$ controller design with recurrent neural network for linear synchronous motor drive,' IEEE Trans. Industrial Electronics, vol. 50, no. 3, pp. 456-470, 2003 https://doi.org/10.1109/TIE.2003.809394