Advertisement

Optimal Fuzzy CLOS Guidance Law Design Using Ant Colony Optimization

  • Hadi Nobahari
  • Seid H. Pourtakdoust
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3777)

Abstract

The well-known ant colony optimization meta-heuristic is applied to design a new command to line-of-sight guidance law. In this regard, the lately developed continuous ant colony system is used to optimize the parameters of a pre-constructed fuzzy sliding mode controller. The performance of the resulting guidance law is evaluated at different engagement scenarios.

Keywords

Tracking Error Travel Salesman Problem Fuzzy Logic Control Fuzzy Term State Transition Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Garnell, P.: Guided Weapon Control Systems, 2nd edn., ch. 7. Pergamon Press, Oxford (1980)Google Scholar
  2. 2.
    Zarchan, P.: Tactical and Strategic Missile Guidance, 3rd edn. AIAA Education Series, vol. 176, pp. 193–205 (1997)Google Scholar
  3. 3.
    Kain, J.E., Yost, D.J.: Command to Line-of-Sight Guidance: A Stochastic Optimal Control problem. In: AIAA Guidance and Control Conference Proceedings, pp. 356–364 (1976)Google Scholar
  4. 4.
    Ha, I.J., Chong, S.: Design of a CLOS Guidance Law via Feedback Linearization. IEEE Transactions on Aerospace and Electronic Systems 28(1), 51–62 (1992)CrossRefGoogle Scholar
  5. 5.
    Parkes, N.E., Roberts, A.P.: Application of Polynomial Methods to Design of Controllers for CLOS Guidance. In: IEEE Conference on Control Applications, vol. 2, pp. 1453–1458 (1994)Google Scholar
  6. 6.
    Pourtakdoust, S.H., Nobahari, H.: Optimization of LOS Guidance for Surface-to-Air Missiles. In: Iranian Aerospace Organization Conference, vol. 2, pp. 245–257 (2000)Google Scholar
  7. 7.
    Arvan, M.R., Moshiri, B.: Optimal Fuzzy Controller Design for an Anti-Tank Missile. In: International Conference on Intelligent and Cognitive Systems, pp. 123–128 (1996)Google Scholar
  8. 8.
    Lin, C.M., Hsu, C.F.: Guidance Law Design by Adaptive Fuzzy Sliding Mode Control. Journal of Guidance, Control and Dynamics 25(2), 248–256 (2002)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Nobahari, H., Alasty, A., Pourtakdoust, S.H.: Design of a Supervisory Controller for CLOS Guidance with Lead Angle. In: AIAA Guidance, Navigation and Control Conference, AIAA-2005-6156 (2005)Google Scholar
  10. 10.
    Palm, R.: Robust Control by Fuzzy Sliding Mode. Automatica 30(9), 1429–1437 (1994)zbMATHCrossRefMathSciNetGoogle Scholar
  11. 11.
    Chen, C.L., Chang, M.H.: Optimal Design of Fuzzy Sliding-Mode Control: A Comparative Study. Fuzzy Sets and Systems 93, 37–48 (1998)CrossRefGoogle Scholar
  12. 12.
    Choi, B.J., Kwak, S.W., Kim, B.K.: Design of a Single-Input Fuzzy Logic Controller and Its Properties. Fuzzy Sets and Systems 106(3), 299–308 (1999)zbMATHCrossRefMathSciNetGoogle Scholar
  13. 13.
    Procyk, T.J., Mamdani, E.H.: A linguistic self-organizing process controller. Automatica, IFAC 15, 15–30 (1979)zbMATHCrossRefGoogle Scholar
  14. 14.
    Takagi, T., Sugeno, M.: Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Systems, Man and Cybernetics 15, 116–132 (1985)zbMATHGoogle Scholar
  15. 15.
    Nomura, H., Hayashi, I., Wakami, N.: A Self Tuning Method of Fuzzy Control by Descent Method. In: Proceedings of the International Fuzzy Systems Association, IFSA 1991, Bruxelles, pp. 155–158 (1991)Google Scholar
  16. 16.
    Siarry, P., Guely, F.: A Genetic Algorithm for Optimizing Takagi-Sugeno Fuzzy Rule Bases. Fuzzy Sets and Systems 99, 37–47 (1998)CrossRefGoogle Scholar
  17. 17.
    Nobahari, H., Pourtakdoust, S.H.: Optimization of Fuzzy Rule Bases Using Continuous Ant Colony System. In: Proceeding of the First International Conference on Modeling, Simulation and Applied Optimization, Sharjah, U.A.E., ICMSAO, vol. 243, pp. 1–6 (2005)Google Scholar
  18. 18.
    Pourtakdoust, S.H., Nobahari, H.: An Extension of Ant Colony System to continuous optimization problems. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds.) ANTS 2004. LNCS, vol. 3172, pp. 294–301. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  19. 19.
    Slotine, J.J.E., Li, W.: Applied Nonlinear Control, ch. 7. Prentice-Hall, Upper Saddle River (1991)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hadi Nobahari
    • 1
  • Seid H. Pourtakdoust
    • 1
  1. 1.Sharif University of TechnologyTehranIran

Personalised recommendations