International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 85
Paper Published : 1402
No. of Authors : 3795
  Journal Paper

Paper Title
Driving Control for Unmanned Driving Vehicle System in Factory

Abstract
The rapid progress of automation technologies merge, manufacturing processes will change dramatically. The use of smart machines will enable more flexible and autonomous manufacturing units. we know that related technologies such as the Internet of Things and Artificial Intelligence are applied everywhere, many industries will also be closely integrated with these technologies. A kind of unmanned driving vehicle for manufacturing and warehousing is popular. Generally, unmanned driving vehicle senses a path through the built-in sensor which can be many kinds of sensors, such as magnetic type, light type etc., so that the unmanned vehicle can operate in accordance with the pre-planned path. When the unmanned driving vehicle gets the path deviation information from the sensor, Unmanned driving vehicle based on the deviation information to calibrate the unmanned driving vehicle direction. The design of the path of unmanned driving vehicle is relate to environmental space and shape, there are straight path and bending path. There are the following problems based on colored tape and camera image guidance solution, the camera is set in front of the car and lead to the driving wheel for a distance, the state of the camera image is inconsistent with the wheel state. The driving control has to take care of the inconsistence precisely. Furthermore, the turning mechanism of driving wheels are not tightly couple with the car’s body, the turning angle of driving wheels is not align with the car. Here, we present a driving control mechanism for colored tape guiding solution for unmanned driving vehicle system. In this study, we focus on color tape driving control methodology based on Arduino control module interface. The implementation of the system architecture and the driving control methodology of unmanned driving vehicle in the proposed system are described and validated in this paper. Keywords - MACD, unmanned driving vehicle


Author - Yen-Hui Kuo, Shu-Hui Lin, Eric Hsiao-Kuang Wu

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