Image processing-based control system for medium and low-speed maglev trains passing through track joints

Abstract

An image processing-based control system for medium and low-speed maglev trains passing through track joints. The image acquisition module collects levitation gap images and track images through binocular cameras. The image processing module and the gap calculation module process the above images and calculate the levitation gap values ​​d and The electromagnet passes the distance L of the track joint, and the suspension control module compares the received d value with the target suspension gap value, and obtains the current value when there is no track joint through PID adjustment, and passes the current value when there is no track joint through L and d. Calibrate, and finally compare it with the current current value of the electromagnet to obtain the current deviation, and change the duty cycle of the suspension chopper through the deviation to change the current of the suspension electromagnet to maintain stable suspension. The invention increases the dynamic stiffness of the system, has the characteristics of strong anti-interference ability, 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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