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A route creator algorithm for Saildrones by comparing a straight-line pseudo route and wind direction

  • Diego Córdova
  • , Leonardo Vinces
  • , José Oliden
  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Control algorithms for drones are commonly focused on transporting the robot from point A to point B, this type of straight path becomes sufficient in the case of aerial drones, but since it is a Saildrone (marine drone propelled in a partially or totally by a sail, commonly rigid), straight navigation between 2 points is less than optimal. That is why navigation strategies are used to control vehicles with sails, consisting of the variation of the angle of attack of the sail and the route that the vehicle will follow. This last parameter of the strategy is the one that is sought to be obtained using an algorithm based on obtaining the coordinates in real time of the drone and the destination point, together with the direction of the wind and the inclination of the Saildrone concerning magnetic North, uniting all this data through analytical geometry equations; to be implemented in an autonomous drone controlled by a Raspberry Pi 4 SBC. In this way, it is sought that the generated routes are similar to those commonly used in sailboat navigation, with the ability to update the route in case it varies from unexpectedly the initial parameters, whether they are the location of the boat or the direction of the wind, to obtain an energy saving greater than 50% to following a route in a straight line. The purpose of this project is to build a route generator with low processing costs for low-resource drones. In this way, it is sought that the generated routes are similar to those commonly used in sailboat navigation, with the ability to update the route in case the initial parameters change unexpectedly, whether they are the location of the vessel or the direction of the wind., to obtain energy saving greater than 50% by following a route in a straight line. The purpose of this project is to build a route generator with low processing costs for low-resource drones. In this way, it is sought that the generated routes are similar to those commonly used in sailboat navigation, with the ability to update the route in case the initial parameters change unexpectedly, whether they are the location of the vessel or the direction of the wind., to obtain energy saving greater than 50% concerning following a route in a straight line. The purpose of this project is to build a route generator with low processing costs for low-resource drones.

Original languageEnglish
Title of host publicationProceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publicationLeadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
EditorsMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9786289520743
StatePublished - 2023
Event21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina
Duration: 19 Jul 202321 Jul 2023

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume2023-July
ISSN (Electronic)2414-6390

Conference

Conference21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
Country/TerritoryArgentina
CityBuenos Aires
Period19/07/2321/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • algorithm
  • autonomous
  • navigation
  • Raspberry
  • route generator
  • sail drone

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