Next Article in Journal
Performance Analysis of Real-Scale 23 kV/60 MVA Class Tri-Axial HTS Power Cable for Real-Grid Application in Korea
Previous Article in Journal
Exploratory Experimental Study on the Mechanical Properties of Granite Subjected to Cyclic Temperature and Uniaxial Stress
Open AccessArticle

On Obtaining Energy-Optimal Trajectories for Landing of UAVs

Institute of Robotics and Machine Intelligence, Faculty of Control Robotics and Electrical Engineering, Poznan University of Technology, ul. Piotrowo 3a, 60-965 Poznan, Poland
Author to whom correspondence should be addressed.
Energies 2020, 13(8), 2062;
Received: 21 March 2020 / Revised: 12 April 2020 / Accepted: 14 April 2020 / Published: 20 April 2020
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. View Full-Text
Keywords: energy; landing; optimization; unmanned aerial vehicle energy; landing; optimization; unmanned aerial vehicle
Show Figures

Figure 1

MDPI and ACS Style

Horla, D.; Cieślak, J. On Obtaining Energy-Optimal Trajectories for Landing of UAVs. Energies 2020, 13, 2062.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop