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The Fuzzy Model for Aircraft Landing Control

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Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

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Abstract

This paper deals the issue of aircraft landing maneuvers from the fuzzy logic perspective. Generally this part of flight needs to be strongly assisted by human pilot. Our purpose is to evaluate the output parameters from a fuzzy system. We have developed a fuzzy control model for three kinematics parameters to do a suitable landing control. We have tried to demonstrate the potential of fuzzy rules based control systems for high precision maneuvers. Features, the approximate reasoning and precision could be simultaneously reached by empirical refining of the fuzzy model. All in all, the result of our work aims to develop the appropriate models for the complete automates of landing process and related tasks.

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References

  1. Aron, I., Lungu, R., Cismaru, C.: Aerospace Navigation Systems, (in Romanian). Scrisul Romanesc, Craiova, (1989)

    Google Scholar 

  2. Bezdek, J.: Fuzzy Models: What are they and Why. IEEE Transactions of Fuzzy Systems, Vol.11 (1993) 1–6

    MathSciNet  Google Scholar 

  3. Ionita, S.: Contributions on Optimal Guiding of Aircraft’s towards High Speed Targets, (in Romanian). Doctoral Thesis, Technical Military Academy, Bucharest, Romania, (1997)

    Google Scholar 

  4. Ionita, S.: The Fuzzy Rules Generating for a Guiding Aircraft Expert System, (in Romanian). The XXVII-th Conference, Technical Military Academy, Bucharest, Romania, 13–14 Nov. (1997) 78–85

    Google Scholar 

  5. Kosko, B.: Neural Networks and Fuzzy Systems. Prentice Hall, Englewood Cliffs (1992).

    MATH  Google Scholar 

  6. Rokhsaz, K., Steck, J.E.: Use of Neural Network in Control of High-Alpha Maneuvers. AIAA Journal of Guidance, Control, and Dynamics, Vol.16. 5. Sept–Oct. (1993) 934–939

    Article  Google Scholar 

  7. Sofron, E., Bizon, N., Ionita, S., Raducu, R.: Fuzzy Control Systems — Modeling and Computer Aided Design, (in Romanian). ALL Educational Publishing House. Bucharest, Romania (1998)

    Google Scholar 

  8. Troudet, T., Garg, S., Merrill, W.: Neurocontrol Design and Analysis for a Multivariable Aircraft Control Problem. AIAA Journal of Guidance, Control, and Dynamics, Vol.16. 4. July–August (1993) 738–747

    Article  Google Scholar 

  9. Yamakawa, T.: Stabilization of an Inverted Pendulum by a High-speed Fuzzy Logic Controller Hardware System. Fuzzy Sets and Systems, Vol.32. (1989) 161–180

    Article  Google Scholar 

  10. Zimmermann, H.J.: Fuzzy Set Theory-and its Applications. Boston (1991)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Electronics Department, University of Pitesti, Targul din Vale 1, 0300, Pitesti, Romania

    Silviu Ionita & Emil Sofron

Authors
  1. Silviu Ionita
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  2. Emil Sofron
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Editor information

Editors and Affiliations

  1. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India

    Nikhil R. Pal

  2. Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan

    Michio Sugeno

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© 2002 Springer-Verlag Berlin Heidelberg

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Ionita, S., Sofron, E. (2002). The Fuzzy Model for Aircraft Landing Control. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_7

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  • DOI: https://doi.org/10.1007/3-540-45631-7_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

  • eBook Packages: Springer Book Archive

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