Abstract
In this paper, a method of intelligent identification and data smooth processing of flying flexible joint pivoting center based on machine vision is proposed. The intelligent identification is realized by the following process: first of all the geometric center of the two markers attached to the flying body is located on a straight line at a certain angle to the center-line of the measured pivoting body, secondly then continuous image sampling is carried out by industrial camera when the marker swings with the pivoting body, and image data is transmitted through a data interface to an industrial computer, Finally the image processing module de-noises the image, removes the background and locates the markers to obtain the plane coordinates of the markers in the coordinate system of the test system. The data smooth of obtained coordinates is carried outby Matlab software including the following steps: the coordinates of the mark points detected based on machine vision are optimized to obtain the smooth curve by fitting of the parabola and arc. Then the coordinates of the points on the curve are used to optimize the coordinates of the marked points from measurement. The optimized coordinate values are substituted into the calculation module of pivoting center, so the average pivoting center of the sampling interval of two images is calculated according to the mathematical model to approach the instantaneous pivoting center during the motion of the pivoting body. The result processing module displays and records the curve of pivoting center shift directly and effectively. Finally, it is validated by simulation and experiments that the precision of pivoting center measured by such measuring system is ~0.5%.
Highlights
During flight, the deviation of the flying pivoting center will affect the actual clearance of the nozzle swing, the change of the relationship between the stroke of the cylinder and the swing angle, and the change of the power arm, etc. (Kearney and Moss, 1993; Ellis et al, 1997; Boury et al, 2008; Carney et al, 2020)
Aiming at solving the problems above, this paper presents a research on shift measurement of flexible joint based on intelligent recognition of machine vision and data smoothing
(3) Detect the edge and extract the center point of the markers on the images to get the coordinates of the markers with accuracy level of sub-pixel, and make the smooth processing to these coordinates, calculate the pivoting center shift state of flexible joint on industrial computer based on the relation and mathematical model of each coordinate system
Summary
The deviation of the flying pivoting center will affect the actual clearance of the nozzle swing, the change of the relationship between the stroke of the cylinder and the swing angle, and the change of the power arm, etc. (Kearney and Moss, 1993; Ellis et al, 1997; Boury et al, 2008; Carney et al, 2020). Determination of Joint Pivoting Center Coordinates center data of flight body of precision swing to ensure the precision of thrust vector control of aircraft. The measurement methods of flexible joint position of flight body are divided into two types: contact measurement and non-contact measurement. The contact measurement method is based on displacement sensor. Yang first proposed the concept of the swing center and the angle of the flexible joint. The measurement of the swing angle of flexible joint can be completed by computer control (Ma and Yang, 2011). Most of the above contact measurement methods use displacement sensors to measure the flight body pendulum center indirectly, and its measurement accuracy needs to be improved
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