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Fuzzy Logic for Speed Control in Object Tracking Inside a Restricted Area Using a Drone

  • Richard Navas Jácome
  • Harley Lovato Huertas
  • Patricia Constante ProcelEmail author
  • Andrés Gordón Garcés
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 152)

Abstract

This article presents the autonomous speed and positioning control for a drone using fuzzy logic to track a target within a restricted area. Classical controllers present a problem, as in general they only support one input and one output and a system model is always required. For this application, it is necessary to analyze two inputs, the position in “x” and the position in “y” of an object that will be recognized by the drone through artificial vision. The goal is to control the speed at which the drone moves according to the position of the object detected by the machine vision within a restricted area, resulting in a faster or slower movement that will improve the tracking of a moving target by delivering real-time object monitoring information to the user in order to take some action based on this information.

Keywords

Fuzzy control Drone Artificial intelligence 

Notes

Acknowledgements

Thanks to the University of the Armed Forces ESPE for the support provided to this research work.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Richard Navas Jácome
    • 1
  • Harley Lovato Huertas
    • 1
  • Patricia Constante Procel
    • 1
    Email author
  • Andrés Gordón Garcés
    • 1
  1. 1.Universidad de las Fuerzas Armadas ESPESangolquíEcuador

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