Autonomous Landing of Uav: A Comparison Between Type-1 and Type-2 Fuzzy Logic Systems

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.