Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles

This paper addresses the problem of building trust in the online prediction of a eUAV’s remaining available flying time powered by lithium-ion polymer batteries. A series of ground tests are described that make use of an electric unmanned aerial vehicle (eUAV) to verify the performance of remaining flying time predictions. The algorithm verification procedure described is implemented on a fully functional vehicle that is restrained to a platform for repeated run-to-functional-failure (charge depletion) experiments. The vehicle under test is commanded to follow a predefined propeller RPM profile in order to create battery demand profiles similar to those expected during flight. The eUAV is repeatedly operated until the charge stored in powertrain batteries falls below a specified limit threshold. The time at which the limit threshold on battery charge is crossed is then used to measure the accuracy of the remaining flying time prediction. In our earlier work battery aging was not included. In this work we take into account aging of the batteries where the parameters were updated to make predictions. Accuracy requirements are considered for an alarm that warns operators when remaining flying time is estimated to fall below the specified limit threshold.

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Challenges Caused by the Unmanned Aerial Vehicle in the Air Traffic Management

Periodica Polytechnica Transportation Engineering ◽

10.3311/pptr.11204 ◽

2017 ◽

Vol 47 (2) ◽

pp. 96-105 ◽

Cited By ~ 3

Author(s):

Zsolt Sándor

Keyword(s):

Unmanned Aerial Vehicle ◽

Traffic Control ◽

Traffic Management ◽

Unmanned Vehicles ◽

Air Traffic ◽

Aviation Industry ◽

Operational Environment ◽

Flight Operations ◽

Aerial Vehicle ◽

Operational Issues

The increasing number of unmanned aerial vehicle poses new challenges in the aviation industry especially the air traffic control, which is responsible for the safe flight operations in the controlled airspaces. In order to protect the conventional aircraft a new operation environment has to be created, which guarantee the safe flying and the possibility of the fulfilment of the flight. In the article drone related safety and operational problems are highlighted. All issue connected to the coexistence of manned and unmanned aircrafts are critical, thus their management have significant importance.Spread and wide use of unmanned aerial vehicle traffic management systems (UTM) can manage the critical operational issues, but is has to be defined that what is the problem, what is the scope, what is the operational environment. Services and functions related to the operation of the UTM system are defined, which are necessary for the safe flying fulfilled by the unmanned vehicles.

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The Prospect for the Launche of a Mini Unmanned Aerial Vehicle from an Unmanned Surface Vehicle

Zeszyty Naukowe Akademii Marynarki Wojennej ◽

10.2478/sjpna-2018-0001 ◽

2018 ◽

Vol 212 (1) ◽

pp. 5-26

Author(s):

Karolina Jurczyk

Keyword(s):

Computer Simulation ◽

Unmanned Aerial Vehicle ◽

Unmanned Vehicles ◽

Unmanned Surface Vehicle ◽

Aerial Vehicle

Abstract Due to the growing interest in the problems of cooperation among unmanned vehicles, in the article the proposition of the system for launching a mini unmanned aerial vehicle (mini-UAV) from an unmanned surface vehicle (USV) has been presented. The solution differs from the previously used in this that instead of the commonly used rotorcrafts it concerns the ability to start the mini aircraft with the help of pneumatic or rubber launcher. The results of the computer simulation have con-firmed the possibility of implementation of that kind of system.

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A novel safety assurance method based on the compound equivalent modeling and iterate reduce particle‐adaptive Kalman filtering for the unmanned aerial vehicle lithium ion batteries

Energy Science & Engineering ◽

10.1002/ese3.606 ◽

2020 ◽

Vol 8 (5) ◽

pp. 1484-1500 ◽

Cited By ~ 4

Author(s):

Shunli Wang ◽

Carlos Fernandez ◽

Yongcun Fan ◽

Juqiang Feng ◽

Chunmei Yu ◽

...

Keyword(s):

Lithium Ion Batteries ◽

Unmanned Aerial Vehicle ◽

Kalman Filtering ◽

Lithium Ion ◽

Safety Assurance ◽

Aerial Vehicle

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Bio-inspired Autonomous Visual Vertical and Horizontal Control of a Quadrotor Unmanned Aerial Vehicle

Electronics ◽

10.3390/electronics8020184 ◽

2019 ◽

Vol 8 (2) ◽

pp. 184 ◽

Cited By ~ 2

Author(s):

Saul Armendariz ◽

Victor Becerra ◽

Nils Bausch

Keyword(s):

Unmanned Aerial Vehicle ◽

Vestibular System ◽

Reference Frames ◽

Unmanned Vehicles ◽

Moving Target ◽

External Reference ◽

Visual Vertical ◽

Tau Theory ◽

Aerial Vehicle ◽

Ground Distance

Near-ground manoeuvres, such as landing, are key elements in unmanned aerial vehicle navigation. Traditionally, these manoeuvres have been done using external reference frames to measure or estimate the velocity and the height of the vehicle. Complex near-ground manoeuvres are performed by flying animals with ease. These animals perform these complex manoeuvres by exclusively using the information from their vision and vestibular system. In this paper, we use the Tau theory, a visual strategy that, is believed, is used by many animals to approach objects, as a solution for relative ground distance control for unmanned vehicles. In this paper, it is shown how this approach can be used to perform near-ground manoeuvres in a vertical and horizontal manner on a moving target without the knowledge of height and velocity of either the vehicle or the target. The proposed system is tested with simulations. Here, it is shown that, using the proposed methods, the vehicle is able to perform landing on a moving target, and also they enable the user to choose the dynamic characteristics of the approach.

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Flight Loads of Mini UAV

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.198.194 ◽

2013 ◽

Vol 198 ◽

pp. 194-199

Author(s):

Andrzej Majka

Keyword(s):

Unmanned Aerial Vehicles ◽

Unmanned Aerial Vehicle ◽

Unmanned Vehicles ◽

Unmanned Aircraft ◽

Aerial Vehicles ◽

Aerial Vehicle ◽

Flight Loads ◽

Urgent Necessity

Designing and building of the unmanned aircraft, especially light and ultra light vehicles, is mainly performed using the experience gained when constructing the flying models. There have not been uniform principles of building and exploiting of the mini and micro UAV (Unmanned Aerial Vehicle) in the form of regulations similar to those for manned airplanes. The unmanned vehicles of these classes in terms of their abilities and attractive price are more frequently exploited using the same air area as manned airplanes performing missions over the inhabited areas. An urgent necessity arises to work out the norms of flight suitability of the mini and micro unmanned aerial vehicles. The work contains the analysis of suitability of the current aviation regulations to determine the requirements for the mini unmanned vehicles. The work concentrates on the phenomenon of determining the symmetrical loads from the maneuvers and the turbulence atmosphere. The result of this analysis is the Limit Maneuver Envelope, Limit Gust Envelope and Limit Combined Envelope for mini UAV. The analyzed flight states allowed selecting the so called design cases which can become a basis for determining the norms of loading of mini unmanned aerial vehicles which can constitute the beginning of the regulations for building of the unmanned aerial vehicles of this class.

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Object Detection by Monocular Camera and Laser Sensors for Small Unmanned Aerial Vehicle

Acta Avionica Journal ◽

10.35116/aa.2019.0013 ◽

2019 ◽

pp. 18-25

Author(s):

Peter Dzurovčin ◽

Libor Švadlenka ◽

Milan Džunda ◽

Iveta Vajdová ◽

Jozef Galanda

Keyword(s):

Object Detection ◽

Unmanned Aerial Vehicle ◽

Load Capacity ◽

Minimum Weight ◽

Unmanned Vehicles ◽

Energy Sources ◽

Laser Sensors ◽

Harris Detector ◽

Aerial Vehicle ◽

Set Up

In this paper, we present selected options for detection and avoidance of obstacles by small unmanned vehicles. The solution to this problem is very complicated mainly because UAVs have a limited load capacity as well as energy sources. Sensors that can be used to solve this task must meet the minimum weight and power requirements. We decided to use a stereo camera and a laser because of the requirements that we set up earlier. The size of the obstacle is determined by the SURF algorithm and the Harris detector.

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Performance Characterization of a Lithium-Ion Gel Polymer Battery Power Supply System for an Unmanned Aerial Vehicle

10.4271/2004-01-3166 ◽

2004 ◽

Cited By ~ 6

Author(s):

Concha M. Reid ◽

Michelle A. Manzo ◽

Michael J. Logan

Keyword(s):

Unmanned Aerial Vehicle ◽

Power Supply ◽

Power Supply System ◽

Lithium Ion ◽

Supply System ◽

Battery Power ◽

Aerial Vehicle ◽

Ion Gel ◽

Polymer Battery

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Distributed sensing units deploying on group unmanned vehicles

International Journal of Distributed Sensor Networks ◽

10.1177/15501477211036877 ◽

2021 ◽

Vol 17 (7) ◽

pp. 155014772110368

Author(s):

Bao Rong Chang ◽

Hsiu-Fen Tsai ◽

Jyong-Lin Lyu ◽

Chien-Feng Huang

Keyword(s):

Unmanned Aerial Vehicle ◽

Video Recording ◽

Three Dimensional ◽

Unmanned Vehicles ◽

Flight Path ◽

Movement Trajectory ◽

Ground Vehicles ◽

Aerial Vehicle ◽

Cooperative Coordination ◽

The Internet Of Things

This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages using the proposed cooperative communication protocol to hand over the tasks between them and execute efficient three-dimensional collaborative operations in time. This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. App operation interface) that uses the Internet of Things. Therefore, pilots can make decisions and communicate through App for cooperative coordination, allowing a group of unmanned aerial/ground vehicles to complete the tasks flexibly. In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. During the experiment of unmanned aerial vehicle, unmanned aerial vehicle will plan the flight path and record the movement trajectory with global positioning system when it is on duty. As a result, the accuracy of the planned flight path achieved 86.89% on average.

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