@inproceedings{ee2e22a9195e408e8678a146352445a1,
title = "Autonomous vehicle control system based on mecanum wheel",
abstract = "The design of the autonomous vehicle control system of Mecanum wheel adopts the idea of modular design. It takes TMS320F2812 as the core of the control module, adopts PWM pulse to control the speed of the DC motor, and uses the photoelectric code disc to convert the motor speed into pulse frequency and feed back to the control module, so as to realize no static difference adjustment of the vehicle{\textquoteright}s moving speed. In addition, it takes the photoelectric detector as the core of the tracking module. By identifying and judging the black and white trajectory on the ground, it outputs the corresponding high and low levels and sends them into the control module to realize the tracking function. The relevant experiments show that the performance of the designed Mecanum wheel{\textquoteright} vehicle is reliable, and all indexes meet the design requirements.",
keywords = "Autonomous vehicle, Closed-loop control, Mecanum wheel",
author = "Yanchun Cheng and Yu Liu and Rundong Wang and Yong Liu and Rui Zhou",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2021.; International Conference on Application of Intelligent Systems in Multi-modal Information Analytics, MMIA 2020 ; Conference date: 18-06-2020 Through 19-06-2020",
year = "2021",
doi = "10.1007/978-3-030-51556-0\_23",
language = "英语",
isbn = "9783030515553",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "149--156",
editor = "Vijayan Sugumaran and Zheng Xu and Huiyu Zhou",
booktitle = "Application of Intelligent Systems in Multi-modal Information Analytics - Proceedings of the 2020 International Conference on Multi-model Information Analytics, MMIA 2020",
address = "德国",
}