A Pan-Tilt Camera Fuzzy Vision Controller on an Unmanned Aerial Vehicle

This paper presents an implementation of two Fuzzy Logic controllers working in parallel for a pan-tilt camera platform on an IJAV. This implementation uses a basic Lucas-Kanade tracker algorithm, which sends information about the error between the center of the object to track and the center of the image, to the Fuzzy controller. This information is enough for the controller to follow the object by moving a two axis servo-platform, regardless the UAV vibrations and movements. The two Fuzzy controllers for each axis, work with a rules-base of 49 rules, two inputs and one output with a more significant sector defined to improve the behavior of those controllers. The controllers have shown very good performances in real flights for statics objects, tested on the Colibri prototypes.