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Design of Chassis Structure and Control System for Indoor Intelligent Vehicle

Published: 17 October 2019 Publication History

Abstract

In order to improve the automation level of factories, an indoor intelligent vehicle chassis with rear wheel side drive and front wheel automatic steering was designed. NX software is used to design and calculate the driving, braking, driving and steering system of indoor intelligent working vehicle, and three-dimensional model is built to design the overall structure of the chassis. The hardware selection and matching of the chassis control system are completed based on STM32, and the speed and position mode control of the low-voltage AC servo motor is chosen based on KEIL5, so that the chassis system of the indoor intelligent working vehicle can be realized. The speed control mode and position control mode of indoor intelligent vehicle chassis are realized. The related research can provide theoretical basis and experimental support for the research of intelligent vehicle.

References

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Cited By

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  • (2020)Recognition and location of typical automotive parts based on the RGB-D cameraComplex & Intelligent Systems10.1007/s40747-020-00182-z7:4(1759-1765)Online publication date: 1-Aug-2020

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AIAM 2019: Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing
October 2019
418 pages
ISBN:9781450372022
DOI:10.1145/3358331
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2019

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Author Tags

  1. 3D modeling
  2. Control system design
  3. STM32
  4. indoor intelligent vehicle

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AIAM 2019

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Overall Acceptance Rate 100 of 285 submissions, 35%

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Cited By

View all
  • (2020)Recognition and location of typical automotive parts based on the RGB-D cameraComplex & Intelligent Systems10.1007/s40747-020-00182-z7:4(1759-1765)Online publication date: 1-Aug-2020

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