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Pitch Aircraft Control with Type-2 FLC and PD Controller

Received: 7 November 2014     Accepted: 10 November 2014     Published: 18 November 2014
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Abstract

Aircraft systems are inherently unstable systems. The equations governing the motion of an aircraft are a very complicated set of six non-linear coupled differential equations. The linearized equation around the operating point is simulated in simulink MATLAB software. Also, the linear part of the system of nonlinear equations is simulated in simulink MATLAB software. In this study, combinations of PD controllers with fuzzy controller in a unity feedback system has been employed. This paper gives a comparison between the two types of FLC type-1 and type-2 in order to show the great effect of the new type of FLCs in reducing overshoot of the step response and improving the robustness of the system.

Published in Journal of Electrical and Electronic Engineering (Volume 3, Issue 2-1)

This article belongs to the Special Issue Research and Practices in Electrical and Electronic Engineering in Developing Countries

DOI 10.11648/j.jeee.s.2015030201.13
Page(s) 12-15
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

PD Controller, Pitch Aircraft Angle, Type-1 Fuzzy Logic Controller, Type-2 Fuzzy Logic Controller

References
[1] Y. John and R. Langari, Fuzzy Logic Intelligence, Control and Information. NJ: Prentice Hall, 1998.
[2] P. King and E. Mamdani, The application of fuzzy control to industrial process, Automatica, vol. 13, pp. 235–242, 1997.
[3] L. A. Zadeh, Outline of a new approach to analysis of complex systems and decision processes. IEEE Trans. Syst., Man, Cybern., vol. 3, no. 1, pp. 28–44, 1973.
[4] J. M. Mendel, Rule-Based Fuzzy Logic Systems: Introduction and New Directions. NJ: Prentice-Hall, 2001.
[5] Zadeh, L. A., The concept of a linguistic variable and its application to approximate reasoning, Part I. Information Sciences, 1975, 8(3), pp. 199–249.
[6] Saba T. Salim, Design of Type-2 Fuzzy Logic Controller for a Simple Furnace System. Eng. & Tech. Journal, Vol.30 , No. 8, 2012
[7] Ismail ATACAK, Design of a hybrid type-2 fuzzy logic/proportional integral controller for single-phase three-wire inverter system. Scientific Research and Essays Vol. 6(23), pp. 5049-5064, 16 October, 2011
[8] Satish. R. Vaishnav, Zafar. J. Khan, Performance of tuned PID controller and a new hybrid fuzzy PD + I controller, World Journal of Modelling and Simulation, Vol. 6, No. 2, pp. 141-149, 2010.
[9] M. B OZEK, Z. H. Akpolat, A Software Tool: Type-2 Fuzzy Logic Toolbox. Wiley Periodicals Inc. 2008.
[10] A. Torabi, A. Karsaz and S. K. M. Mashhadi, “Design of Modern and Predictive Controllers for Aircraft Control System”, Latest Trends in Circuits, Systems, Signal Processing and Automatic Control, pp. 344–348, 2014.
[11] http://ctms.engin.umich.edu/CTMS/index.php?example=AircraftPitch&section=SystemModeling
Cite This Article
  • APA Style

    Syed Mohamad Reza Haji Mirzaie, Hodeiseh Gordan, Jalil Shirazi, Amin Nikbakht. (2014). Pitch Aircraft Control with Type-2 FLC and PD Controller. Journal of Electrical and Electronic Engineering, 3(2-1), 12-15. https://doi.org/10.11648/j.jeee.s.2015030201.13

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    ACS Style

    Syed Mohamad Reza Haji Mirzaie; Hodeiseh Gordan; Jalil Shirazi; Amin Nikbakht. Pitch Aircraft Control with Type-2 FLC and PD Controller. J. Electr. Electron. Eng. 2014, 3(2-1), 12-15. doi: 10.11648/j.jeee.s.2015030201.13

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    AMA Style

    Syed Mohamad Reza Haji Mirzaie, Hodeiseh Gordan, Jalil Shirazi, Amin Nikbakht. Pitch Aircraft Control with Type-2 FLC and PD Controller. J Electr Electron Eng. 2014;3(2-1):12-15. doi: 10.11648/j.jeee.s.2015030201.13

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  • @article{10.11648/j.jeee.s.2015030201.13,
      author = {Syed Mohamad Reza Haji Mirzaie and Hodeiseh Gordan and Jalil Shirazi and Amin Nikbakht},
      title = {Pitch Aircraft Control with Type-2 FLC and PD Controller},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {3},
      number = {2-1},
      pages = {12-15},
      doi = {10.11648/j.jeee.s.2015030201.13},
      url = {https://doi.org/10.11648/j.jeee.s.2015030201.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.s.2015030201.13},
      abstract = {Aircraft systems are inherently unstable systems. The equations governing the motion of an aircraft are a very complicated set of six non-linear coupled differential equations. The linearized equation around the operating point is simulated in simulink MATLAB software. Also, the linear part of the system of nonlinear equations is simulated in simulink MATLAB software. In this study, combinations of PD controllers with fuzzy controller in a unity feedback system has been employed. This paper gives a comparison between the two types of FLC type-1 and type-2 in order to show the great effect of the new type of FLCs in reducing overshoot of the step response and improving the robustness of the system.},
     year = {2014}
    }
    

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    T1  - Pitch Aircraft Control with Type-2 FLC and PD Controller
    AU  - Syed Mohamad Reza Haji Mirzaie
    AU  - Hodeiseh Gordan
    AU  - Jalil Shirazi
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    N1  - https://doi.org/10.11648/j.jeee.s.2015030201.13
    DO  - 10.11648/j.jeee.s.2015030201.13
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 12
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.s.2015030201.13
    AB  - Aircraft systems are inherently unstable systems. The equations governing the motion of an aircraft are a very complicated set of six non-linear coupled differential equations. The linearized equation around the operating point is simulated in simulink MATLAB software. Also, the linear part of the system of nonlinear equations is simulated in simulink MATLAB software. In this study, combinations of PD controllers with fuzzy controller in a unity feedback system has been employed. This paper gives a comparison between the two types of FLC type-1 and type-2 in order to show the great effect of the new type of FLCs in reducing overshoot of the step response and improving the robustness of the system.
    VL  - 3
    IS  - 2-1
    ER  - 

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Author Information
  • Electrical Engineering Department, Khavaran Institute of Higher Education, Mashhad, Iran

  • Department of Electrical Engineering, Sobhan Institute of Higher Education, Neyshabur, Iran

  • Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Gonabad, Iran

  • Electrical Engineering Department, Khavaran Institute of Higher Education, Mashhad, Iran

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