Replaceable Tread Tire Prototype Development for C-130 Military Aircraft Flight Tests

1977 ◽  
Author(s):  
James W. Pond
Keyword(s):  
Military Aircraft ◽  
Flight Tests ◽  
Prototype Development ◽  
Aircraft Flight

scholarly journals IMUMETER—A Convolution Neural Network-Based Sensor for Measurement of Aircraft Ground Performance

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4726
Author(s):  
Jarosław Pytka ◽  
Piotr Budzyński ◽  
Paweł Tomiło ◽  
Joanna Michałowska ◽  
Ernest Gnapowski ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Convolution Neural Network ◽  
Flight Tests ◽  
Motion Measurement ◽  
Aircraft Flight ◽  
Acceleration Data ◽  
Measurement Results ◽  
Measurement And Analysis ◽  
Ground Distance

The paper presents the development of the IMUMETER sensor, designed to study the dynamics of aircraft movement, in particular, to measure the ground performance of the aircraft. A motivation of this study was to develop a sensor capable of airplane motion measurement, especially for airfield performance, takeoff and landing. The IMUMETER sensor was designed on the basis of the method of artificial neural networks. The use of a neural network is justified by the fact that the automation of the measurement of the airplane’s ground distance during landing based on acceleration data is possible thanks to the recognition of the touchdown and stopping points, using artificial intelligence. The hardware is based on a single-board computer that works with the inertial navigation platform and a satellite navigation sensor. In the development of the IMUMETER device, original software solutions were developed and tested. The paper describes the development of the Convolution Neural Network, including the learning process based on the measurement results during flight tests of the PZL 104 Wilga 35A aircraft. The ground distance of the test airplane during landing on a grass runway was calculated using the developed neural network model. Additionally included are exemplary measurements of the landing distance of the test airplane during landing on a grass runway. The results obtained in this study can be useful in the development of artificial intelligence-based sensors, especially those for the measurement and analysis of aircraft flight dynamics.

High altitude aircraft flight tests

1996 ◽  
Author(s):  
Henry Helmken ◽  
Peter Emmons ◽  
David Homeyer
Keyword(s):  
High Altitude ◽  
Flight Tests ◽  
Aircraft Flight

Fiber optics for military aircraft flight systems

IEEE LCS ◽  
1991 ◽  
Vol 2 (1) ◽  
pp. 52-65 ◽  
Author(s):  
L. Figueroa ◽  
C.S. Hong ◽  
R.W. Huggins ◽  
G.E. Miller ◽  
A.A. Popoff ◽  
...  
Keyword(s):  
Fiber Optics ◽  
Military Aircraft ◽  
Aircraft Flight

Flight tests and flight data analysis - teaching aerospace engineering students

2016 ◽  
Vol 6 (2) ◽  
pp. 136
Author(s):  
Grzegorz Kopecki
Keyword(s):  
Mathematical Model ◽  
Data Analysis ◽  
Engineering Students ◽  
Low Cost ◽  
Aerospace Engineering ◽  
Flight Tests ◽  
High Class ◽  
Flight Data ◽  
Aircraft Flight ◽  
The Mathematical Model

The ability to carry out in-flight tests and to analyse the flight data registered is, in the case of aerospace engineering  students, a vital aspect of education. Since aircraft flight tests are very expensive, frequently the funds allocated to them in the process of education are insufficient. The aim of this article is to present a relatively low-cost method of training students to carry out flight tests and to analyse flight data. The method relies on three consecutive steps. At first, simulation tests relying on the mathematical model of an aircraft are carried out.  During these simulations, students analyse aircraft behaviour. Next, flight data registered during previously held in-flight tests are analysed.  Finally, flight tests are performed by students.  As a result, having mastered the ability to analyse real flight data, the students trained will become high-class specialists being able to conduct flight tests and analyse flight data.

Measuring and Recording Systems Used in Flight Tests of Aircraft

2011 ◽  
Vol 180 ◽  
pp. 222-231 ◽  
Author(s):  
Mirosław Nowakowski
Keyword(s):  
Flight Dynamics ◽  
Armed Forces ◽  
Design Parameters ◽  
Physical Parameters ◽  
Flight Tests ◽  
Technical Parameters ◽  
Aircraft Flight ◽  
Tests And Measurements ◽  
Measuring Devices ◽  
Experimental Apparatus

Flight tests and measurements are usually performed for newly built or modernised aircraft utilised by the Polish Armed Forces. In the course of flight tests the airborne equipment is also investigated. The main goal of the performed tests is to verify tactical performance and to identify technical parameters of aircraft and/or equipment under examination. The airborne experimental data is also applied to the aircraft flight dynamics modelling, subsequently used for the design and construction of a flight simulator. The equipment is usually arranged of the following components: ̶ sensors/measuring devices capable of converting physical parameters into optical, mechanical, or electrical signals (indicators, transmitters, sensors, transducers); ̶ conditioning systems - intermediary devices used to amplify and/or adjust any signal gained to some required value or form; ̶ recording and storing devices (data recorders, cameras, etc.); ̶ devices applied to the decoding and processing of the acquired data (decoders, computers). Some selected problems of aircraft flight tests will be discussed in the paper. A brief description of the applied experimental apparatus will be provided first. Next, the attention will be focused on the experimentally gathered data utilised in the identification of aircraft flight dynamics characteristics and on the data applied to the evaluation of selected design parameters.

scholarly journals Artificial Neural Networks as Applied to Aircraft Flight Test Planning / Wykorzystanie Sztucznych Sieci Neuronowych W Planowaniu Badań W Locie

2012 ◽  
Vol 21 (1) ◽  
pp. 149-162
Author(s):  
Mirosław Zieja ◽  
Joanna Wójcik
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Flight Test ◽  
Test Plan ◽  
Military Aircraft ◽  
Test Program ◽  
Aircraft Flight ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
The Military

Abstract Any flight test programme is essentially based on a flight test plan, i.e. a document agreed upon and accepted by all the parties interested in the tests, and authorised by the superior body/authorities responsible for the execution of the tests. The flight test plan determines the number of flights and flight hours indispensable to verify whether a given aircraft satisfies specified requirements. Many and various external factors may have significant and adverse effect on the execution of the flight test program according to the earlier agreed schedule. The study also covers the structure of a model of a management system for aircraft prototype testing, and the structure of artificial neural network (ANN) developed on the basis of experimentally gained data from the military aircraft testing. A mathematical model based on the artificial neural network and its potential for the managing of aircraft prototypes testing has been formulated as well.

Roll performance assessment of a light aircraft: flight tests and flight simulation

2015 ◽  
Author(s):  
Fabrizio Nicolosi ◽  
Agostino De Marco ◽  
Vito Sabetta ◽  
Pierluigi Della Vecchia
Keyword(s):  
Performance Assessment ◽  
Flight Simulation ◽  
Flight Tests ◽  
Aircraft Flight

Tactile Situation Awareness System

2016 ◽  
Vol 60 (1) ◽  
pp. 722-726 ◽  
Author(s):  
Angus H. Rupert ◽  
Ben D. Lawson ◽  
Jared E. Basso
Keyword(s):  
Surface Area ◽  
Situation Awareness ◽  
Flight Control ◽  
System Development ◽  
Current Effort ◽  
Flight Tests ◽  
Aircraft Flight ◽  
Aircraft Flight Control ◽  
Control Feedback ◽  
Awareness System

Recent system development efforts have been made concerning a Tactile Situation Awareness System (TSAS). TSAS is a garment containing vibrotactile stimulators that provide aircraft flight control feedback to the torso. TSAS is intended to improve human factors during flight by reducing workload, increasing situation awareness, and reducing the likelihood of brownout mishaps. During simulation and flight tests, pilots using TSAS have demonstrated the ability to non-visually hover helicopters, while consistently reporting reduced workload and increased situation awareness. The current effort enlarged the surface area of the garment to extend the capability beyond hovering to include complete forward flight control (pitch and roll) so that the technology could be transitioned to the helicopter pilot community and effect a reduction of brownout mishaps. The following describes the delivery of this new suite of capabilities, including the cueing garments, avionics interfaces, and software compatible with military helicopter platforms.

scholarly journals Approaches to aircraft flight tests at high angles of attack

2021 ◽  
Vol 186 ◽  
pp. 693-697
Author(s):  
O.A. Balyk ◽  
O.N. Korsun ◽  
M.V. Zolotaeva
Keyword(s):  
Flight Tests ◽  
Aircraft Flight ◽  
High Angles Of Attack
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