Non-linear model predictive control for UAVs with slung/swung load


Autoria(s): Gonzalez, Felipe; Heckmann, Alexander; Notter, Stefan; Zürn, Markus; Trachte, Jan; McFadyen, Aaron
Data(s)

26/05/2015

Resumo

Suspended loads on UAVs can provide significant benefits to several applications in agriculture, law enforcement and construction. The load impact on the underlying system dynamics should not be neglected as significant feedback forces may be induced on the vehicle during certain flight manoeuvres. Much research has focused on standard multi-rotor position and attitude control with and without a slung load. However, predictive control schemes, such as Nonlinear Model Predictive Control (NMPC), have not yet been fully explored. To this end, we present software and flight system architecture to test controller for safe and precise operation of multi-rotors with heavy slung load in three dimensions.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/72665/

Relação

http://eprints.qut.edu.au/72665/1/SuspendedLoad-ICRA2015.pdf

Gonzalez, Felipe, Heckmann, Alexander, Notter, Stefan, Zürn, Markus, Trachte, Jan, & McFadyen, Aaron (2015) Non-linear model predictive control for UAVs with slung/swung load. In International Conference on Robotics and Automation (ICRA 2015), 26-30 May 2015, Washington State Convention & Trade Center (WSCC), Seattle, Washington, USA.

Direitos

Copyright 2015 [Please consult the author]

Fonte

Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty

Palavras-Chave #090104 Aircraft Performance and Flight Control Systems #090602 Control Systems Robotics and Automation #Non-Linear Model Predictive Control #UAV #Slung/Swung Load #suspended load #agriculture
Tipo

Conference Paper