On Obtaining Energy-Optimal Trajectories for Landing of UAVs
The optimization issues connected to a landing task of an unmanned aerial vehicle are discussed in the paper, based on a model of a mini-class drone. Three landing scenarios are considered, including minimum-time landing, landing with minimum energy consumption, and planned landing. With the use of...
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Online Access: | https://www.mdpi.com/1996-1073/13/8/2062 |
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doaj-e397a1f349c04d50a0ee43bddfae6e432020-11-25T02:33:25ZengMDPI AGEnergies1996-10732020-04-01132062206210.3390/en13082062On Obtaining Energy-Optimal Trajectories for Landing of UAVsDariusz Horla0Jacek Cieślak1Poznan University of Technology, Faculty of Control Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, ul. Piotrowo 3a, 60-965 Poznan, PolandPoznan University of Technology, Faculty of Control Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, ul. Piotrowo 3a, 60-965 Poznan, PolandThe optimization issues connected to a landing task of an unmanned aerial vehicle are discussed in the paper, based on a model of a mini-class drone. Three landing scenarios are considered, including minimum-time landing, landing with minimum energy consumption, and planned landing. With the use of classical dynamic programming techniques, including the minimum principle of Pontryagin, as well as the calculus of variations, the optimal altitude reference trajectories are found, to form the altitude control system in such a way as to mimic the profile of the reference trajectory by the actual altitude of the UAV. The simulation results conducted with the use of the Simulink Support Package for Parrot Minidrones verify the correctness and effectiveness of the method, and open the research directions for further analysis, especially to tune altitude controller in a way, as to track the reference profile. Up to this point, optimization tasks considered in the literature, with respect to the drones, were connected to swarm formation optimization, optimization of the take-off process or landing process limited to optimal path planning. This paper thus considers a new topic in the field.https://www.mdpi.com/1996-1073/13/8/2062energylandingoptimizationunmanned aerial vehicle |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dariusz Horla Jacek Cieślak |
spellingShingle |
Dariusz Horla Jacek Cieślak On Obtaining Energy-Optimal Trajectories for Landing of UAVs Energies energy landing optimization unmanned aerial vehicle |
author_facet |
Dariusz Horla Jacek Cieślak |
author_sort |
Dariusz Horla |
title |
On Obtaining Energy-Optimal Trajectories for Landing of UAVs |
title_short |
On Obtaining Energy-Optimal Trajectories for Landing of UAVs |
title_full |
On Obtaining Energy-Optimal Trajectories for Landing of UAVs |
title_fullStr |
On Obtaining Energy-Optimal Trajectories for Landing of UAVs |
title_full_unstemmed |
On Obtaining Energy-Optimal Trajectories for Landing of UAVs |
title_sort |
on obtaining energy-optimal trajectories for landing of uavs |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-04-01 |
description |
The optimization issues connected to a landing task of an unmanned aerial vehicle are discussed in the paper, based on a model of a mini-class drone. Three landing scenarios are considered, including minimum-time landing, landing with minimum energy consumption, and planned landing. With the use of classical dynamic programming techniques, including the minimum principle of Pontryagin, as well as the calculus of variations, the optimal altitude reference trajectories are found, to form the altitude control system in such a way as to mimic the profile of the reference trajectory by the actual altitude of the UAV. The simulation results conducted with the use of the Simulink Support Package for Parrot Minidrones verify the correctness and effectiveness of the method, and open the research directions for further analysis, especially to tune altitude controller in a way, as to track the reference profile. Up to this point, optimization tasks considered in the literature, with respect to the drones, were connected to swarm formation optimization, optimization of the take-off process or landing process limited to optimal path planning. This paper thus considers a new topic in the field. |
topic |
energy landing optimization unmanned aerial vehicle |
url |
https://www.mdpi.com/1996-1073/13/8/2062 |
work_keys_str_mv |
AT dariuszhorla onobtainingenergyoptimaltrajectoriesforlandingofuavs AT jacekcieslak onobtainingenergyoptimaltrajectoriesforlandingofuavs |
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