A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle

The present study faces the problem of safely controlling the position trajectory of a multirotor aerial vehicle subjected to a conic constraint on the total thrust vector and a linear convex constraint on the position vector. The problem is solved using a linear state-space model predictive control...

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Bibliographic Details
Main Authors: Igor Afonso Acampora Prado, Davi Antonio dos Santos
Format: Article
Language:English
Published: Instituto de Aeronáutica e Espaço (IAE) 2017-02-01
Series:Journal of Aerospace Technology and Management
Subjects:
Online Access:https://www.jatm.com.br/jatm/article/view/613
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author Igor Afonso Acampora Prado
Davi Antonio dos Santos
author_facet Igor Afonso Acampora Prado
Davi Antonio dos Santos
author_sort Igor Afonso Acampora Prado
collection DOAJ
description The present study faces the problem of safely controlling the position trajectory of a multirotor aerial vehicle subjected to a conic constraint on the total thrust vector and a linear convex constraint on the position vector. The problem is solved using a linear state-space model predictive control strategy, whose optimization is made handy by replacing the original conic constraint set on the thrust vector by an inscribed pyramidal space, which renders a linear set of inequalities. The proposed method is evaluated on the basis of Monte Carlo simulations taking into account a random disturbance force. The simulation results show the effectiveness of the method in tracking the commanded trajectory while respecting the constraints. They also predict the effect of both the speed command and the maximum allowed inclination angle on the system performance.
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spelling doaj.art-9d1dd5e2f6f244068f0e9cb7178ab8e92022-12-22T01:30:04ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management2175-91462017-02-0191A Model Predictive Guidance Strategy for a Multirotor Aerial VehicleIgor Afonso Acampora Prado0Davi Antonio dos Santos1Instituto Tecnológico de AeronáuticaInstituto Tecnológico de AeronáuticaThe present study faces the problem of safely controlling the position trajectory of a multirotor aerial vehicle subjected to a conic constraint on the total thrust vector and a linear convex constraint on the position vector. The problem is solved using a linear state-space model predictive control strategy, whose optimization is made handy by replacing the original conic constraint set on the thrust vector by an inscribed pyramidal space, which renders a linear set of inequalities. The proposed method is evaluated on the basis of Monte Carlo simulations taking into account a random disturbance force. The simulation results show the effectiveness of the method in tracking the commanded trajectory while respecting the constraints. They also predict the effect of both the speed command and the maximum allowed inclination angle on the system performance.https://www.jatm.com.br/jatm/article/view/613Position ControlUnmanned Aerial VehicleModel Predictive ControlMultirotor Helicopters.
spellingShingle Igor Afonso Acampora Prado
Davi Antonio dos Santos
A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
Journal of Aerospace Technology and Management
Position Control
Unmanned Aerial Vehicle
Model Predictive Control
Multirotor Helicopters.
title A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
title_full A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
title_fullStr A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
title_full_unstemmed A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
title_short A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
title_sort model predictive guidance strategy for a multirotor aerial vehicle
topic Position Control
Unmanned Aerial Vehicle
Model Predictive Control
Multirotor Helicopters.
url https://www.jatm.com.br/jatm/article/view/613
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