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Experimental Implementation of Fuzzy Vision-Based Tracking Control of Quad-Rotor

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 634))

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Abstract

This paper presents a novel approach to detect and track an object using a quadrotor-UAV. The proposed system mainly consists of two parts- (i) Object detection and tracking using histogram backprojection and CAMSHIFT tracker, (ii) Fuzzy Proportional and Fuzzy Proportional-Derivative controller for controlling the drone. We implemented our algorithm using ROS (Robot Operating System), OPENCV library and MATLAB programming environment.

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Author information

Authors and Affiliations

  1. Electrical Engineering, National Institute of Technology, Silchar, India

    Hemjyoti Das, Aniket Samrat Mazumdar & Rajeeb Dey

  2. Mechanical Engineering, National Institute of Technology, Silchar, India

    Lintu Roy

Authors
  1. Hemjyoti Das
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  2. Aniket Samrat Mazumdar
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  3. Rajeeb Dey
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  4. Lintu Roy
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Corresponding author

Correspondence to Hemjyoti Das .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of Canberra, Canberra, South Australia, Australia

    Lakhmi C. Jain

  3. Universitatea Aurel Vlaicu Din Arad, Arad, Romania

    Marius Mircea Balas

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Das, H., Mazumdar, A.S., Dey, R., Roy, L. (2018). Experimental Implementation of Fuzzy Vision-Based Tracking Control of Quad-Rotor. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-319-62524-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-62524-9_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62523-2

  • Online ISBN: 978-3-319-62524-9

  • eBook Packages: EngineeringEngineering (R0)

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