Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer

Sanmao He; Danfeng Chen; Yuping Cai; Yuetong Chen; Siyin Feng

doi:doi:10.11648/j.acis.20200801.12

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Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer

Sanmao He, Danfeng Chen, Yuping Cai, Yuetong Chen, Siyin Feng

Published in Automation, Control and Intelligent Systems (Volume 8, Issue 1)

Received: 29 June 2020 Accepted: Published: 10 August 2020

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Abstract

With the rapid development of technology, the application of artificial intelligence technology in life is becoming more and more extensive, and intelligent robots play an important role in life. A smart car that can carry out the maze patrolling of three branch roads is designed. This smart car is mainly controlled by the STC89C52 chip and driven by the L298N chip. In this work, the ground information is firstly collected and transformed by the 4-channel TCRT5000 infrared reflection sensor module. Then, TCRT5000 infrared reflection sensor module converts the collected ground information into digital signals and transmits them to the main control chip. Finally, the recognition of the road and the control command such as go forward, turn left and turn right can be implemented through the main control chip. The power system of the smart car is composed of the L298N motor drive module and two DC motors. The main control chip controls the rotation speed and steering of the two DC motors separately, and uses the principle of differential steering to achieve left and right steering. The design uses sensor technology and uses C language for programming, so that the car automatically recognizes the three-way road. This design can be used in driverless vehicles and artificial intelligence related fields.

Published in	Automation, Control and Intelligent Systems (Volume 8, Issue 1)
DOI	10.11648/j.acis.20200801.12
Page(s)	9-12
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

STC89C52 Microcontroller, Maze Patrolling, TCRT5000, L298N

References

[1]	Wang Jing. Research on motion control technology of smart car [D]. Wuhan University of Technology, 2009.
[2]	Zhao Lu, Gao Qian. Intelligent fire extinguishing robot based on Ar dui no control [J]. Science and Fortune, 2019, 000 (015): 180.
[3]	Hu Kaicheng, Lin Li, Tan Qingqing. Research on innovative design of community-oriented intelligent unmanned express car (robot) [J]. Information System Engineering, 2018, 000 (009): 45-46.
[4]	Tian Yali, Liang Bo. Design of intelligent voice car control system based on single chip microcomputer [J]. Electronic Technology and Software Engineering, 2019 (02): 247-248.
[5]	Lu Youyi, Xu Jianming, Chen Jiongming. Design of electronic clock based on single chip microcomputer [J]. Electronic World, 2016, 000 (009): 31.
[6]	Yu Chiye, Song Yue, Lei Ruiting. Intelligent tracking car based on STC12C5A60S2 [J]. Laboratory Research and Exploration, 2014, 33 (11): 46-49.
[7]	Xu Xiaolong, Zhang Jianwen, Yu Liang. Design of chopper-controlled AC voltage regulator power supply [J]. Journal of Electrical Engineering, 2012 (1).
[8]	Gu Qun, Pu Shuanglei. Design of an intelligent trolley obstacle avoidance tracking system based on single chip microcomputer [J]. Digital Technology and Application, 2012 (05): 23.
[9]	Zhu Chunhua, Gu Xueliang. Design of tracking car based on infrared reflective sensor TCRT5000 [J]. Modern Electronic Technology, 2018 (18): 143-146.
[10]	Peng Meiding, Deng Peng. Design of Intelligent Infrared Obstacle Avoidance Car Based on Microcontroller [J]. Wireless Internet Technology, 2017 (3).

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APA Style

Sanmao He, Danfeng Chen, Yuping Cai, Yuetong Chen, Siyin Feng. (2020). Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Automation, Control and Intelligent Systems, 8(1), 9-12. https://doi.org/10.11648/j.acis.20200801.12

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ACS Style

Sanmao He; Danfeng Chen; Yuping Cai; Yuetong Chen; Siyin Feng. Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Autom. Control Intell. Syst. 2020, 8(1), 9-12. doi: 10.11648/j.acis.20200801.12

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AMA Style

Sanmao He, Danfeng Chen, Yuping Cai, Yuetong Chen, Siyin Feng. Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Autom Control Intell Syst. 2020;8(1):9-12. doi: 10.11648/j.acis.20200801.12

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@article{10.11648/j.acis.20200801.12,
  author = {Sanmao He and Danfeng Chen and Yuping Cai and Yuetong Chen and Siyin Feng},
  title = {Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {1},
  pages = {9-12},
  doi = {10.11648/j.acis.20200801.12},
  url = {https://doi.org/10.11648/j.acis.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200801.12},
  abstract = {With the rapid development of technology, the application of artificial intelligence technology in life is becoming more and more extensive, and intelligent robots play an important role in life. A smart car that can carry out the maze patrolling of three branch roads is designed. This smart car is mainly controlled by the STC89C52 chip and driven by the L298N chip. In this work, the ground information is firstly collected and transformed by the 4-channel TCRT5000 infrared reflection sensor module. Then, TCRT5000 infrared reflection sensor module converts the collected ground information into digital signals and transmits them to the main control chip. Finally, the recognition of the road and the control command such as go forward, turn left and turn right can be implemented through the main control chip. The power system of the smart car is composed of the L298N motor drive module and two DC motors. The main control chip controls the rotation speed and steering of the two DC motors separately, and uses the principle of differential steering to achieve left and right steering. The design uses sensor technology and uses C language for programming, so that the car automatically recognizes the three-way road. This design can be used in driverless vehicles and artificial intelligence related fields.},
 year = {2020}
}

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TY - JOUR
T1 - Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer
AU - Sanmao He
AU - Danfeng Chen
AU - Yuping Cai
AU - Yuetong Chen
AU - Siyin Feng
Y1 - 2020/08/10
PY - 2020
N1 - https://doi.org/10.11648/j.acis.20200801.12
DO - 10.11648/j.acis.20200801.12
T2 - Automation, Control and Intelligent Systems
JF - Automation, Control and Intelligent Systems
JO - Automation, Control and Intelligent Systems
SP - 9
EP - 12
PB - Science Publishing Group
SN - 2328-5591
UR - https://doi.org/10.11648/j.acis.20200801.12
AB - With the rapid development of technology, the application of artificial intelligence technology in life is becoming more and more extensive, and intelligent robots play an important role in life. A smart car that can carry out the maze patrolling of three branch roads is designed. This smart car is mainly controlled by the STC89C52 chip and driven by the L298N chip. In this work, the ground information is firstly collected and transformed by the 4-channel TCRT5000 infrared reflection sensor module. Then, TCRT5000 infrared reflection sensor module converts the collected ground information into digital signals and transmits them to the main control chip. Finally, the recognition of the road and the control command such as go forward, turn left and turn right can be implemented through the main control chip. The power system of the smart car is composed of the L298N motor drive module and two DC motors. The main control chip controls the rotation speed and steering of the two DC motors separately, and uses the principle of differential steering to achieve left and right steering. The design uses sensor technology and uses C language for programming, so that the car automatically recognizes the three-way road. This design can be used in driverless vehicles and artificial intelligence related fields.
VL - 8
IS - 1
ER -

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Author Information

Sanmao He

School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
Danfeng Chen

School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
Yuping Cai

School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
Yuetong Chen

School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
Siyin Feng

School of Mechatronic Engineering and Automation, Foshan University, Foshan, China

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APA Style

Sanmao He, Danfeng Chen, Yuping Cai, Yuetong Chen, Siyin Feng. (2020). Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Automation, Control and Intelligent Systems, 8(1), 9-12. https://doi.org/10.11648/j.acis.20200801.12

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ACS Style

Sanmao He; Danfeng Chen; Yuping Cai; Yuetong Chen; Siyin Feng. Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Autom. Control Intell. Syst. 2020, 8(1), 9-12. doi: 10.11648/j.acis.20200801.12

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AMA Style

Sanmao He, Danfeng Chen, Yuping Cai, Yuetong Chen, Siyin Feng. Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer. Autom Control Intell Syst. 2020;8(1):9-12. doi: 10.11648/j.acis.20200801.12

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@article{10.11648/j.acis.20200801.12,
  author = {Sanmao He and Danfeng Chen and Yuping Cai and Yuetong Chen and Siyin Feng},
  title = {Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {1},
  pages = {9-12},
  doi = {10.11648/j.acis.20200801.12},
  url = {https://doi.org/10.11648/j.acis.20200801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200801.12},
  abstract = {With the rapid development of technology, the application of artificial intelligence technology in life is becoming more and more extensive, and intelligent robots play an important role in life. A smart car that can carry out the maze patrolling of three branch roads is designed. This smart car is mainly controlled by the STC89C52 chip and driven by the L298N chip. In this work, the ground information is firstly collected and transformed by the 4-channel TCRT5000 infrared reflection sensor module. Then, TCRT5000 infrared reflection sensor module converts the collected ground information into digital signals and transmits them to the main control chip. Finally, the recognition of the road and the control command such as go forward, turn left and turn right can be implemented through the main control chip. The power system of the smart car is composed of the L298N motor drive module and two DC motors. The main control chip controls the rotation speed and steering of the two DC motors separately, and uses the principle of differential steering to achieve left and right steering. The design uses sensor technology and uses C language for programming, so that the car automatically recognizes the three-way road. This design can be used in driverless vehicles and artificial intelligence related fields.},
 year = {2020}
}

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