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

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.