An Automation Innovation of Gearbox Vehicle Control by Using Machine Learning Based Robotic Operation

2023 International Conference on Disruptive Technologies (ICDT) Pub Date : 2023-05-11 DOI:10.1109/ICDT57929.2023.10151418

Ramakrishna M M, Nageswara Rao Atyam, Nikhil Chaurasia, L. Senthamil, Mohd Asif Shah, V. L. Raja

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Abstract

There are many vehicle exchanges around the world are using the manual transmission and automatic transmission are the most popular. At this time, many popular manufacturers have started using the robot version in their new products. The gearbox of the robot is, in fact, mechanical; it has an additional automatic clutch and gear shift. Accordingly, the operation of the transmission is not completely dependent on the driver, as in other options, but on the electronic control unit. For the proper functioning of the transmission the driver needs to correctly transmit only the incoming information. In this paper an automation innovation was proposed to control the vehicle gear shifting functions by using the machine learning based on the robotic operation model. An automaton or robot, after some time, must first learn the device of a new invention. The automatic gearbox received a friction type clutch. It is a disk set or a built-in separate mechanism. The most reliable and durable design can be called the double clutch design.

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基于机器学习的机器人操作在变速箱车辆控制中的自动化创新

世界上有许多车辆交换都采用手动变速器，其中以自动变速器最为流行。此时，许多流行的制造商已经开始在他们的新产品中使用机器人版本。实际上，机器人的齿轮箱是机械的;它有一个额外的自动离合器和换挡。因此，变速器的操作不完全依赖于司机，在其他选项，但在电子控制单元。为了传输的正常工作，驱动程序只需要正确地传输传入的信息。本文提出了一种基于机器人操作模型的机器学习控制车辆换挡功能的自动化创新方法。一个自动机或机器人，经过一段时间后，必须首先学会新发明的装置。自动变速箱装有摩擦式离合器。它是一个磁盘集或一个内置的独立机制。最可靠和耐用的设计可称为双离合器设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 International Conference on Disruptive Technologies (ICDT)

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