Summary of Flight Tests - XC-120 Packlane

1951 ◽  
Author(s):  
J. A. Clopper
Keyword(s):  
Flight Tests

Conduction of Mission Task Elements within Simulator Flight Tests for Handling Quality Evaluation of an eVTOL Aircraft

2021 ◽  
Author(s):  
Guillermo Díaz García ◽  
David Seiferth ◽  
Vitus Meidinger ◽  
Daniel Dollinger ◽  
Pranav Nagarajan ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Flight Tests ◽  
Handling Quality

On-board converter of signals of inductive sensors of speed IS-1165M1 with increased noise immunity

2017 ◽  
Vol 13 (3) ◽  
pp. 30-38
Author(s):  
Y. B. Gorbatkin ◽  
V. A. Chernyshev ◽  
S. S. Sevostyanov ◽  
A. V. Gladkov
Keyword(s):  
Noise Immunity ◽  
Dynamic Range ◽  
Rocket Engines ◽  
Flight Tests ◽  
Speed Sensor ◽  
Inductive Sensors ◽  
Turbo Pump

The article is devoted to the development of a secondary converter for measuring the speed of turbo-pump aggregates of rocket engines. The principle of the induction speed sensor is considered in the article. A method is proposed for generating output pulses from signals of induction speed sensors, which consists in the preliminary integration of the signals of the speed sensor. This method allows to increase the reliability and accuracy of the formation of signals of induction speed sensors, as well as to increase the noise immunity of the secondary converter and significantly increase the dynamic range of measuring the speed. The data of flight tests of the developed secondary converter are given.

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

Ultra-Wideband-Based Localization for Quadcopter Navigation

2016 ◽  
Vol 04 (01) ◽  
pp. 23-34 ◽  
Author(s):  
Kexin Guo ◽  
Zhirong Qiu ◽  
Cunxiao Miao ◽  
Abdul Hanif Zaini ◽  
Chun-Lin Chen ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Global Positioning System ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Positioning System ◽  
Localization Algorithm ◽  
Control Loop ◽  
Flight Tests ◽  
Localization System ◽  
Global Positioning

Micro unmanned aerial vehicles (UAVs) are promising to play more and more important roles in both civilian and military activities. Currently, the navigation of UAVs is critically dependent on the localization service provided by the Global Positioning System (GPS), which suffers from the multipath effect and blockage of line-of-sight, and fails to work in an indoor, forest or urban environment. In this paper, we establish a localization system for quadcopters based on ultra-wideband (UWB) range measurements. To achieve the localization, a UWB module is installed on the quadcopter to actively send ranging requests to some fixed UWB modules at known positions (anchors). Once a distance is obtained, it is calibrated first and then goes through outlier detection before being fed to a localization algorithm. The localization algorithm is initialized by trilateration and sustained by the extended Kalman filter (EKF). The position and velocity estimates produced by the algorithm will be further fed to the control loop to aid the navigation of the quadcopter. Various flight tests in different environments have been conducted to validate the performance of UWB ranging and localization algorithm.

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