International Journal of Control, Automation, and Systems

  • 제5권3호
  • /
  • Pages.324-328
  • /
  • 2007
  • /
  • 1598-6446(pISSN)
  • /
  • 2005-4092(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
권호 표지

Fuzzy Linear Parameter Varying Modeling and Control of an Anti-Air Missile

  • Mehrabian, Ali Reza (Dept. of Electrical and Computer Engineering, Faculty of Engineering and Computer Science, Concordia University) ;
  • Hashemi, Seyed Vahid (Department of Aerospace Engineering, K. N. Toosi University of Technology)
  • 발행 : 2007.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

An analytical framework for fuzzy modeling and control of nonlinear systems using a set of linear models is presented. Fuzzy clustering is applied on the aerodynamic coefficients of a missile to obtain an optimal number of rules in a Tagaki-Sugeno fuzzy rule-set. Next, the obtained membership functions and rule-sets are applied to a set of linear optimal controllers towards extraction of a global controller. Reported simulations demonstrate the performance, stability, and robustness of the controller.

키워드

참고문헌

  1. W. J. Rugh, 'Analytical framework for gain scheduling,' IEEE Control Systems Magazine, vol. 11, no. 1, pp. 79-84, 1991 https://doi.org/10.1109/37.103361
  2. R. A. Nicholes, R. T. Reichert, and W. J. Rugh, 'Gain scheduling H-inf Controllers: A flight control example,' IEEE Trans. on Control Systems Technology, vol. 1, no. 2, pp. 69-79, 1993 https://doi.org/10.1109/87.238400
  3. A. R. Mehrabian and J. Roshanian, 'Skid-to-turn missile autopilot design using scheduled eigenstructure assignment technique,' Journal of Aerospace Engineering-Part G, Proc. of the Institution of Mechanical Engineers, vol. 220, no. 3, pp. 225-239, 2006 https://doi.org/10.1243/09544100G03204
  4. A. R. Mehrabian and J. Roshanian, 'Skid-to-turn missile autopilot design using scheduled eigenstructure assignment technique,' Journal of Aerospace Engineering-Part G, Proc. of the Institution of Mechanical Engineers, vol. 220, no. 3, pp. 225-239, 2006 https://doi.org/10.1243/09544100G03204
  5. M. Oosterom and R. Babuska, 'Design of a gain scheduling mechanism for flight control laws by fuzzy clustering,' Control Engineering Practice, vol. 14, no. 7, pp. 769-781, 2006 https://doi.org/10.1016/j.conengprac.2005.03.012
  6. D. E. Gustafson and W. C. Kessel, 'Fuzzy clustering with fuzzy covariance matrix,' Proc. of IEEE Conference on Decision and Control, pp.761-766, 1979
  7. X. L. Xie and G. A. Beni, 'A validity measure for fuzzy clustering,' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 3, no.8, pp. 841-846, 1991
  8. S. V. Hashemi, A. R. Mehrabian, and J. Roshanian, 'Control-oriented fuzzy multi-model identification of a highly nonlinear missile,' Proc. of IEEE Conference on Intelligent Systems, pp. 326-331, 2006
  9. A. E. Bryson, Applied Linear Optimal Control, Cambridge University Press, Cambridge, UK, 2002