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Design of Fuzzy Logic Controller to Drive Autopilot Altitude in Landing Phase

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Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 338))

Abstract

Nowadays the automatic control science is an important filed. Its importance has been raised from equipment evolution and increased control requirements over the many science fields, such as medical and industrial applications. Hence, it was necessary to find ways for studying and working to develop control systems. This paper proposes study of an aircraft as control object in longitudinal channel during the landing phase, and study altitude due to its importance during this phase. This paper introduces the possibility of implementing automated control process using fuzzy controllers. Finally, comparing the results of fuzzy and traditional controllers has been discussed.

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Author information

Authors and Affiliations

  1. School of Engineering, Gautam Buddha University, Gr. Noida, UP, India

    Adel Rawea & Shabana Urooj

Authors
  1. Adel Rawea
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  2. Shabana Urooj
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Corresponding author

Correspondence to Adel Rawea .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. School of Information Technology, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India

    A. Govardhan

  3. Department of CSE, Computer Society of India, Hyderabad, India

    K. Srujan Raju

  4. University of Kalyanai, Kalyanai, West Bengal, India

    J. K. Mandal

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Rawea, A., Urooj, S. (2015). Design of Fuzzy Logic Controller to Drive Autopilot Altitude in Landing Phase. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2. Advances in Intelligent Systems and Computing, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-319-13731-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-13731-5_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13730-8

  • Online ISBN: 978-3-319-13731-5

  • eBook Packages: EngineeringEngineering (R0)

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