ICUAS'17 Paper Abstract

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Paper WeC2.3

Pelizer, Guilherme (Universidade de São Paulo), Silva, Natassya B. F. (Universidade de São Paulo - USP), Branco, Kalinka Regina Lucas Jaquie Castelo (University of São Paulo)

Comparison of 3D Path-Following Algorithms for Unmanned Aerial Vehicles

Scheduled for presentation during the "Path Planning - III" (WeC2), Wednesday, June 14, 2017, 17:20−17:40, Salon AB

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on July 22, 2019

Keywords Path Planning, Navigation, Simulation

Abstract

Unmanned Aerial Vehicle (UAV) development is a field with rising interest in recent years. One of its essential part is the autopilot, responsible for keeping the aircraft in desired flight conditions and for executing navigation tasks. Among the navigation tasks, one that stands out is the path-following operation, which guarantees that the aircraft follows a predefined trajectory. The literature presents a variety of approaches with this function, based in geometric and control techniques; however, compared only for the 2D scenario. Therefore, the main purpose of this paper is to perform a comparison in the 3D scenario of the path-following algorithms Lookahead, Non-Linear Guidance Law (NLGL), Pure Pursuit and Line-of-Sight (PLOS) and Vector Field, regarding accuracy and computational cost. The simulation results of straight lines trajectories show that PLOS and Lookahead present lower errors and lower computational cost than NLGL and Vector Field, thus being more adequate.

 

 

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