Abstract

In-flight measurements are one of the directions of aircraft testing which has been developed actively recently. Creation of a flight laboratory based on an unmanned vehicle to reduce the cost of developing and analysis techniques for in-flight measurements is proposed. For the laboratory an onboard system for recording experimental images during a flight was developed. It was decided to conduct computer modeling of images that can be obtained using the developed system for its verification. Unity a cross-platform photorealistic graphic engine with visual integrated development environment was chosen for this purpose. For modeling both external and internal real camera parameters, including distortion coefficients, and parameters of the measured surface could be preassigned. The developed methodology for computer modeling of images of the deformable surface allows to evaluate the accuracy of various algorithms for processing experimental images, as well as the influence of the parameters of the experimental setup on the error of the measurements results.

Highlights

  • IntroductionThe practical implementation of this approach allows to accelerate both the development of new types of aircraft, and the in-flight tests of serial samples, and their commissioning

  • In-flight measurements are one of the directions of aircraft testing which has been developed actively recently

  • The first method to be studied at the proposed laboratory will be the method of measuring deformations – Image Pattern Correlation Technique (IPCT) [78]

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Summary

Introduction

The practical implementation of this approach allows to accelerate both the development of new types of aircraft, and the in-flight tests of serial samples, and their commissioning. The first method to be studied at the proposed laboratory will be the method of measuring deformations (surface shape) – Image Pattern Correlation Technique (IPCT) [78]. It is based on digital processing of stereo images to restore an object surface shape. Processing is based on correlation methods that are widely used in flow diagnostic methods: PIV (Particle Image Velocimetry) [9] and BOS (Background Oriented Schlieren) [10] For this purpose, an electronic optical system for recording stereo images in flight was developed. By changing the modeling parameters: the position of the camera stereo system, the background pattern parameters and the deformation amplitude, experimental dependences can be obtained to estimate the measurement error for various parameters of the inflight experiment

Surface modeling technique
Modeling results and their processing
Conclusions
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