Altitude Measurement-Based Optimization of the Landing Process of UAVs
The paper addresses the loop shaping problem in the altitude control of an unmanned aerial vehicle to land the flying robot with a specific landing scenario adopted. The proposed solution is optimal, in the sense of the selected performance indices, namely minimum-time, minimum-energy, and velocity-...
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doaj-ddf190f0455d4de7a80071b1cc031e462021-02-07T00:03:48ZengMDPI AGSensors1424-82202021-02-01211151115110.3390/s21041151Altitude Measurement-Based Optimization of the Landing Process of UAVsDariusz Horla0Wojciech Giernacki1Jacek Cieślak2Pascual Campoy3Faculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznan, PolandFaculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznan, PolandFaculty of Automatic Control, Robotics and Electrical Engineering, Institute of Robotics and Machine Intelligence, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznan, PolandComputer Vision and Aerial Robotics Group (CVAR) at Centre for Automation and Robotics (CAR), Universidad Politecnica Madrid (UPM), 28006 Madrid, SpainThe paper addresses the loop shaping problem in the altitude control of an unmanned aerial vehicle to land the flying robot with a specific landing scenario adopted. The proposed solution is optimal, in the sense of the selected performance indices, namely minimum-time, minimum-energy, and velocity-penalized related functions, achieving their minimal values, with numerous experiments conducted throughout the development and preparation to the Mohamed Bin Zayed International Robotics Challenge (MBZIRC 2020). A novel approach to generation of a reference altitude trajectory is presented, which is then tracked in a standard, though optimized, control loop. Three landing scenarios are considered, namely: minimum-time, minimum-energy, and velocity-penalized landing scenarios. The experimental results obtained with the use of the Simulink Support Package for Parrot Minidrones, and the OptiTrack motion capture system proved the effectiveness of the proposed approach.https://www.mdpi.com/1424-8220/21/4/1151optimizationenergyUAVlanding |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dariusz Horla Wojciech Giernacki Jacek Cieślak Pascual Campoy |
spellingShingle |
Dariusz Horla Wojciech Giernacki Jacek Cieślak Pascual Campoy Altitude Measurement-Based Optimization of the Landing Process of UAVs Sensors optimization energy UAV landing |
author_facet |
Dariusz Horla Wojciech Giernacki Jacek Cieślak Pascual Campoy |
author_sort |
Dariusz Horla |
title |
Altitude Measurement-Based Optimization of the Landing Process of UAVs |
title_short |
Altitude Measurement-Based Optimization of the Landing Process of UAVs |
title_full |
Altitude Measurement-Based Optimization of the Landing Process of UAVs |
title_fullStr |
Altitude Measurement-Based Optimization of the Landing Process of UAVs |
title_full_unstemmed |
Altitude Measurement-Based Optimization of the Landing Process of UAVs |
title_sort |
altitude measurement-based optimization of the landing process of uavs |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-02-01 |
description |
The paper addresses the loop shaping problem in the altitude control of an unmanned aerial vehicle to land the flying robot with a specific landing scenario adopted. The proposed solution is optimal, in the sense of the selected performance indices, namely minimum-time, minimum-energy, and velocity-penalized related functions, achieving their minimal values, with numerous experiments conducted throughout the development and preparation to the Mohamed Bin Zayed International Robotics Challenge (MBZIRC 2020). A novel approach to generation of a reference altitude trajectory is presented, which is then tracked in a standard, though optimized, control loop. Three landing scenarios are considered, namely: minimum-time, minimum-energy, and velocity-penalized landing scenarios. The experimental results obtained with the use of the Simulink Support Package for Parrot Minidrones, and the OptiTrack motion capture system proved the effectiveness of the proposed approach. |
topic |
optimization energy UAV landing |
url |
https://www.mdpi.com/1424-8220/21/4/1151 |
work_keys_str_mv |
AT dariuszhorla altitudemeasurementbasedoptimizationofthelandingprocessofuavs AT wojciechgiernacki altitudemeasurementbasedoptimizationofthelandingprocessofuavs AT jacekcieslak altitudemeasurementbasedoptimizationofthelandingprocessofuavs AT pascualcampoy altitudemeasurementbasedoptimizationofthelandingprocessofuavs |
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1724282053796560896 |