research-article

Research and Implementation of Self-Balancing Obstacle Vehicle Based On the Principle of Flywheel Inverted Pendulum

Authors:

Xiaoqian Huang,

Chao ChenAuthors Info & Claims

AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

Pages 1070 - 1073

https://doi.org/10.1145/3495018.3495338

Published: 14 March 2022 Publication History

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

Research and Implementation of Self-Balancing Obstacle Vehicle Based On the Principle of Flywheel Inverted Pendulum

Pages 1070 - 1073

Abstract
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Abstract

Using the self-balancing control principle, a mobile robot with smaller structure than the general mobile robot can be made, which can walk in a narrow space. This paper realized a self-balancing control of two-wheeled obstacle vehicle based on flywheel inverted pendulum. The reverse torque is controlled by PID control technology and realized by Simulink platform. the balance control of the obstacle vehicle based on the flywheel inverted pendulum model is carried out. For the implementation of the algorithm, Simulink platform is used. The designed algorithm is transformed into Simulink block diagram, and the block diagram is transformed into MCU program by Simulink automatic code generation technology, which provides great convenience for the debugging of the algorithm.

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Cited By

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Vadlamudi SLakshmi KYaramala AUppalapati CKolluri P(2024)Self Balancing Motorcycle Using Reinforcement Learning2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)10.1109/ESIC60604.2024.10481556(691-696)Online publication date: 9-Feb-2024
https://doi.org/10.1109/ESIC60604.2024.10481556

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

October 2021

3136 pages

ISBN:9781450385046

DOI:10.1145/3495018

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

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Published: 14 March 2022

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture

October 23 - 25, 2021

Manchester, United Kingdom

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Vadlamudi SLakshmi KYaramala AUppalapati CKolluri P(2024)Self Balancing Motorcycle Using Reinforcement Learning2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)10.1109/ESIC60604.2024.10481556(691-696)Online publication date: 9-Feb-2024
https://doi.org/10.1109/ESIC60604.2024.10481556

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Abstract

References

Cited By

Recommendations

Research on Fuzzy Control of Inverted Pendulum

PID Control of Inverted Pendulum Using Adams and Matlab Co-Simulation

Fuzzy control of a real time inverted pendulum system

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