Experimental Assessment of Local Weather Forecasts for Small Unmanned Aircraft Flight

2019 ◽  
Author(s):  
Katherine Glasheen ◽  
James Pinto ◽  
Matthias Steiner ◽  
Eric W. Frew
Keyword(s):  
Unmanned Aircraft ◽  
Experimental Assessment ◽  
Weather Forecasts ◽  
Aircraft Flight ◽  
Local Weather

scholarly journals Skill prediction of local weather forecasts based on the ECMWF ensemble

2001 ◽  
Vol 8 (6) ◽  
pp. 419-428 ◽  
Author(s):  
C. Ziehmann
Keyword(s):  
Weather Forecasting ◽  
A Priori ◽  
A Priori Estimate ◽  
Ensemble Prediction ◽  
Ensemble Forecasts ◽  
Data Set ◽  
Weather Forecasts ◽  
Numerical Weather Forecasting ◽  
Similar Good ◽  
Local Weather

Abstract. Ensemble Prediction has become an essential part of numerical weather forecasting. In this paper we investigate the ability of ensemble forecasts to provide an a priori estimate of the expected forecast skill. Several quantities derived from the local ensemble distribution are investigated for a two year data set of European Centre for Medium-Range Weather Forecasts (ECMWF) temperature and wind speed ensemble forecasts at 30 German stations. The results indicate that the population of the ensemble mode provides useful information for the uncertainty in temperature forecasts. The ensemble entropy is a similar good measure. This is not true for the spread if it is simply calculated as the variance of the ensemble members with respect to the ensemble mean. The number of clusters in the C regions is almost unrelated to the local skill. For wind forecasts, the results are less promising.

Detection of Conflicts Between ADS-B-Equipped Aircraft and Unmanned Aerial Systems

2020 ◽  
Vol 2674 (1) ◽  
pp. 197-204
Author(s):  
John H. Mott ◽  
Zachary A. Marshall ◽  
Mark A. Vandehey ◽  
Mike May ◽  
Darcy M. Bullock
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Federal Aviation Administration ◽  
Unmanned Aircraft ◽  
Sensor Technology ◽  
Unmanned Aerial Systems ◽  
Aircraft Flight ◽  
Flight Operations ◽  
Aerial Systems ◽  
Operational Simplicity

Versatile unmanned aerial system (UAS) platforms have grown significantly in popularity by virtue of their low cost relative to manned aircraft, high performance, and operational simplicity. While the Federal Aviation Administration (FAA) currently regulates the operating altitudes, speeds, weights, pilot qualifications, and locations of drones, a lack of capacity and technology prohibits sufficient enforcement of these restrictions. To assess the frequency and severity of manned and unmanned aircraft separation incidents, and to examine the emerging sensor technology available to facilitate such assessment, flight operations in controlled airspace around Orlando Melbourne International Airport (KMLB) were monitored. One sensor system deployed at KMLB reported UAS locations, altitudes, and flight durations, while a second system reported manned aircraft positions, altitudes, and timestamps using ADS-B signals. Evaluation of flight operations data in the vicinity of KMLB revealed eight potential drone incursions over a 2-week period. Aircraft flight paths were retroactively tracked to map these unmanned and manned aerial conflicts; aircraft identification information was also researched to contextualize the incidents. The frequency and magnitude of identified events suggest the need for additional research to further explore the problem scope and potential solutions.

Simplex Methods for Optimal Control of Unmanned Aircraft Flight Trajectories

2017 ◽  
Author(s):  
Michael D. Zollars ◽  
Richard G. Cobb
Keyword(s):  
Delaunay Triangulation ◽  
Unmanned Aircraft ◽  
Collocation Methods ◽  
Barycentric Coordinates ◽  
Flight Trajectory ◽  
Orthogonal Collocation ◽  
Aircraft Flight ◽  
Constrained Delaunay Triangulation ◽  
Flight Trajectories ◽  
Aircraft System

The feasibility of using a constrained Delaunay triangulation method for determining optimal flight trajectories of unmanned air vehicles in a constrained environment is explored. Current methods for developing optimal flight trajectories have yet to achieve computational times that allow for real-time implementation. The proposed method alleviates the dependency of problem specific parameters while eliminating constraints on the Non-Linear Program. Given an input of obstacles with n vertices, a constrained Delaunay triangulation is performed on the space. Converting the vertices of the triangulation to barycentric coordinates on a phased approach defines the state bounds and max time for each phase. With two-dimensional aircraft dynamics, direct orthogonal collocation methods are performed to compute the optimal flight trajectory. Results illustrate computational times and feasibility of Small Unmanned Aircraft System flight trajectories through polygon constraints.

Mathematics and Meteorology

1986 ◽  
Vol 79 (8) ◽  
pp. 602-603
Author(s):  
Eric F. Wood
Keyword(s):  
High School Students ◽  
Secondary School ◽  
Real Life ◽  
Teaching Mathematics ◽  
School Students ◽  
Weather Forecasts ◽  
Life Problems ◽  
School Classroom ◽  
Interesting Discussion ◽  
Local Weather

One of the ironies of teaching mathematics is that real-life problems, although interesting, are often too difficult to consider in a secondary school classroom. Consequently the problems that are used in texts are often somewhat contrived. While working at the local weather office, I came upon several applications of trigonometry that are both interesting and instructive for high school students. The problems require that some background knowledge be presented to the students, but often they will have at least heard about the ideas from the nightly weather forecasts on television. These ideas make an interesting discussion for both teacher and student.

Estimation of Vertical Take-off Unmanned Aircraft Flight Characteristics and Algorithm of Required Roll Angle Calculating for Trajectory Tracking

2021 ◽  
Vol 64 (3) ◽  
pp. 416-423
Author(s):  
T. Yu. Gainutdinova ◽  
A. V. Gainutdinova ◽  
M. V. Trusfus ◽  
V. G. Gainutdinov ◽  
T. A. Zamaleev
Keyword(s):  
Trajectory Tracking ◽  
Unmanned Aircraft ◽  
Roll Angle ◽  
Aircraft Flight

Unmanned aircraft automatic flight control algorithm in a spin maneuver

2020 ◽  
Vol 92 (8) ◽  
pp. 1215-1224
Author(s):  
Tomasz Rogalski ◽  
Paweł Rzucidło ◽  
Jacek Prusik
Keyword(s):  
Automatic Control ◽  
Flight Control ◽  
Unmanned Aircraft ◽  
Control Algorithms ◽  
Content Type ◽  
Aircraft Flight ◽  
Control Precision ◽  
In Series ◽  
Flight Parameters ◽  
High Control

Purpose The paper aims to present an idea of automatic control algorithms dedicated to both small manned and unmanned aircraft, capable to perform spin maneuver automatically. This is a case of maneuver far away from so-called standard flight. The character of this maneuver and the range of aircraft flight parameters changes restrict application of standard control algorithms. Possibility of acquisition full information about aircraft flight parameters is limited as well in such cases. This paper analyses an alternative solution that can be applied in some specific cases. Design/methodology/approach The paper uses theoretical discussion and breakdowns to create basics for development of structures of control algorithms. Simplified analytical approach was applied to tune regulators. Results of research were verified in series of software-in-the loop, computer simulations. Findings The structure of the control system enabling aerobatic flight (spin flight as example selected) was found and the method how to tune regulators was presented as well. Practical implications It could be a fundament for autopilots working in non-conventional flight states and aircraft automatic recovery systems. Originality/value The paper presents author’s original approach to aircraft automatic control when high control precision is not the priority, and not all flight parameters can be precisely measured.

Optimal climate control of a storage facility using local weather forecasts

2003 ◽  
Vol 11 (5) ◽  
pp. 505-516 ◽  
Author(s):  
Karel J. Keesman ◽  
Diederik Peters ◽  
Leo J.S. Lukasse
Keyword(s):  
Storage Facility ◽  
Climate Control ◽  
Weather Forecasts ◽  
Local Weather
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