Determination of motion parameters by analyzing videos of the launch vehicle verticalization process
- 22 February 2021
- conference paper
- conference paper
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 2318 (1), 100014
- https://doi.org/10.1063/5.0036243
Abstract
The possibilities of determining the motion parameters of an arrow with a space rocket during the ascent process by analyzing video recordings is analised in the paper. Such an approach will allow an analysis of the dynamics of the rise, including transient processes, without the use of expensive systems for recording parameters, or be used to obtain additional information about the rise process in the presence of such systems. Four main types of data are identified that can be obtained from the analysis of such a movement: data on the natural frequencies of structural vibrations that can be used for subsequent system diagnostics; data on the actual law of motion of a boom with a launch vehicle carrying information on the actual parameters of the lift drive and some features of its operation; data on the maximum values of the total accelerations and displacements for various points of a space rocket to determine their acceptability; the stiffness of part of the boom and space rocket elements, as well as the actual vibration damping coefficients and other parameters. The analysis of the influence of optical distortions due to inhomogeneity of the atmosphere in the observed region and distortions due to the imperfection of the optics used, as well as ways to combat their negative influence in the problem under consideration.Keywords
This publication has 21 references indexed in Scilit:
- Prospects of using electromechanical drives based on roller screw mechanisms in aerospace hardwareAIP Conference Proceedings, 2019
- New design of gapless planetary roller screw mechanismAIP Conference Proceedings, 2019
- Dynamic analysis of non-linear processes in super heavy-lift launch vehicle erector and polyspast lifting systemAIP Conference Proceedings, 2019
- Estimation of full‐field, full‐order experimental modal model of cable vibration from digital video measurements with physics‐guided unsupervised machine learning and computer visionStructural Control and Health Monitoring, 2019
- SMART MANAGEMENT OF TECHNOLOGIES: PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPMENT USING WIRELESS SENSOR NETWORKSEntrepreneurship and Sustainability Issues, 2018
- Technical diagnostics functioning machines and mechanismsIOP Conference Series: Materials Science and Engineering, 2018
- A precision optoelectronic system for monitoring torsional vibrations of turbine drive shaftsDoklady Physics, 2017
- Accuracy evaluation of sub-pixel structural vibration measurements through optical flow analysis of a video sequenceMeasurement, 2017
- Hydraulic Lifting Mechanisms for the Erection EquipmentAerospace Scientific Journal, 2016
- Using several video sensors to reduce the error of systems for monitoring the geometrical parameters of objectsJournal of Optical Technology, 2007