Abstract

The Unmanned Aerial Vehicles (UAV) are an important technology with multiple applications. It is an object of study for researchers aiming to improve the performance of these vehicles, especially in flight stages as the landing. Therefore, this paper presents a method for the landing of a UAV based on Type-2 Fuzzy Logic System considering static targets. The advantage of this process is more precision and accuracy compared with Type-1 Fuzzy Logic System.

Highlights

  • An Unmanned Aerial Vehicle (UAV) is an airframe and a computer system which combines sensors, Global Positioning System (GPS), servos, and Flight Control Unit (FCU) providing the aircraft’s flight without human intervention

  • This module has the function of finding a Type-1 Fuzzy Set that better represents Type2 Fuzzy Set, in such a way that in the absence of uncertainty, the results of Type-2 Fuzzy Logic System (FLS) are reduced to Type-1 FLS (MENDEL; JOHN; LIU, 2006)

  • The landing procedure started with the UAV surrounding the marker about 8 meters from the ground

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Summary

INTRODUCTION

An Unmanned Aerial Vehicle (UAV) is an airframe and a computer system which combines sensors, Global Positioning System (GPS), servos, and Flight Control Unit (FCU) providing the aircraft’s flight without human intervention. It is a revolutionary technology which is growing in the market, being a study object for researches around the world. The authors in (BENAVIDEZ et al, 2014), adopted two fuzzy controllers and the package used to recognize and estimate the landing site is the ar track alvar These multiple concurrent controllers approaches are not practical and simplified alternative when the goal is the embedded use. This work is organized as follows: Section II presents the problem formulation, Section III presents the Interval Type-2 FLS, Section IV discusses the numerical results and Section V concludes the work

PROBLEM FORMULATION
INTERVAL TYPE-2 FUZZY LOGIC SYSTEM
Output Variables
Fuzzifier
Inference
Type-Reducer
Deffuzification
EXPERIMENTAL RESULTS
CONCLUSION
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