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Sampled-data flocking with application to unmanned rotorcraft

Producción científica: Conference contributionrevisión exhaustiva

3 Citas (Scopus)

Resumen

We present experiments demonstrating a discrete-time flocking control algorithm using a group of three rotorcraft. We use a motion-capture system to sense each rotorcraft’s position. In addition, we use a centralized computer to calculate each rotorcraft’s control and transmit the control to the rotorcraft. The centralized computer is not required for the discrete-time flocking algorithm but is used to simplify implementation. These experiments show that the rotorcraft tend to a flocking configuration independent of whether a virtual leader is present or not. Furthermore, these experiments show that the rotorcraft approximately follow the leader (if applicable).

Idioma originalEnglish
Título de la publicación alojadaAIAA Guidance, Navigation, and Control
DOI
EstadoPublished - ene 1 2018
EventoAIAA Guidance, Navigation, and Control Conference, 2018 - Kissimmee, United States
Duración: ene 8 2018ene 12 2018

Serie de la publicación

NombreAIAA Guidance, Navigation, and Control Conference, 2018

Conference

ConferenceAIAA Guidance, Navigation, and Control Conference, 2018
País/TerritorioUnited States
CiudadKissimmee
Período1/8/181/12/18

Nota bibliográfica

Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Financiación

This work is supported in part by the National Science Foundation (OIA-1539070) and the National Aeronautics and Space Administration (NNX10AL96) through the NASA Kentucky Space Grant.

FinanciadoresNúmero del financiador
NASA Kentucky Space
National Science Foundation (NSF)OIA-1539070
National Aeronautics and Space AdministrationNNX10AL96

    ASJC Scopus subject areas

    • Aerospace Engineering
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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