Middle-low speed maglev train cross track seam control system based on image processing

Abstract

The invention provides a middle-low speed maglev train cross track seam control system based on image processing. An image acquisition module acquires a suspension gap image and a track image through a binocular camera, and an image processing module and a gap calculation module process the images and calculate a suspension gap value d and a track-crossing joint distance L of an electromagnet; a suspension control module compares the received d value with a target suspension gap value, obtains a current value without a track gap through PID adjustment, carries out gap correction on the current value without the track gap through L and d, finally compares the current value with the current current value of an electromagnet to obtain a current deviation, and changes the duty ratio of a suspension chopper through the deviation so as to change the current of the suspension electromagnet, and stable suspension is kept. The dynamic rigidity of the system is improved, and the system has the characteristics of high anti-interference capability, high suspension stability and the like.

Description

technical field [0001] The invention relates to the technical field of maglev trains, in particular to a machine vision-based system for realizing the stable control of maglev trains passing track joints by detecting the levitation gap and the distance between track gaps. Background technique [0002] The maglev train can fly at a certain height off the ground, but it still needs a reliable support and guidance system on the ground, that is, a track. Considering thermal expansion and contraction as well as construction errors, there are inevitably rail gaps between the tracks. [0003] At present, the gap sensor of medium and low speed (less than 200 kilometers per hour) maglev trains mostly adopts the eddy current gap sensor, which uses the eddy current effect to realize the non-contact measurement of the air gap, and controls the suspension gap within the working range of 8 ~ 12mm. When this kind of sensor passes an alternating current in the detection coil, it will gener...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies in the existing levitation gap measurement technology, the purpose of the present invention is to provide an image processing-based middle and low-speed maglev train track-passing joint control system, aiming to solve the problem of the existing maglev train gap sensor when the vehicle passes the track. Unable to detect the levitation gap, weak anti-interference ability, complicated installation process, high cost, nonlinear correction and other problems when the joint is connected, and at the same time realize the function of a single detection device to simultaneously detect the levitation gap, track gap, and the distance between the electromagnet and the rail gap

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