基于计算机视觉算法的线速度测量机器人平台

Yaroslav Kyrylenko, Kutovoj Yurij, Kunchenko Tatiana
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引用次数: 0

摘要

本文介绍了将计算机视觉算法集成到轨道交通牵引电力传动控制系统中的方法。演示了如何使用计算机视觉算法来计算线速度,而不是其他传感器,如车轮里程表、GPS、DGPS和惯性传感器,这些传感器在光滑的表面和低速下不起作用。因此,本文研究了将线速度作为反馈在控制系统中的应用,以优化启动和停止时的功耗,消除车轮打滑。电驱动控制系统在机器人平台上实现并测试。展示了用于模拟轨道交通实际动态模式行为的机器人平台的开发过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Robotic Platform for Measuring Linear Velocity Using Computer Vision Algorithms
This article presents approach to integrate algorithms of computer vision to control system of traction electric drives in rail transport. Shows how to use computer vision algorithms to calculate line velocity instead of other sensors such as wheel odometers, GPS, DGPS and inertial sensors that do not work on slippery surfaces and at low speeds. Therefore, this article deals with the application of linear velocity as feedback in the control system to optimize power consumption at the start and stop and to eliminate wheel slip. System of control of electric drive implemented and tested by robotics platform. Shown the process of development robotics platform that uses for imitation dynamic modes behavior in real situations for rail transports.
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