Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Research on Motion Control Method and Path Planning for Small Autonomous Underwater Vehicle

Authors
Jingqi Ma1, *
1Sino-European School of Technology, Shanghai University, Shanghai, 200000, China
*Corresponding author. Email: majingqi@shu.edu.cn
Corresponding Author
Jingqi Ma
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_86How to use a DOI?
Keywords
AUV; Control Methed; Path Planning
Abstract

Marine resources are an important wealth for mankind. The development and application of underwater robots capable of efficiently performing various underwater tasks are of great importance for the exploration and utilization of resources. Motion control and path planning technologies are the core technologies that ensure the safe and stable operation of underwater robots in their working environment and have always been the focus of underwater robot research. This paper studies and classifies the motion control methods and path planning technologies of small Autonomous Underwater Vehicle. In terms of motion control, the content involves PID control, fuzzy control, and the sliding mode control. In terms of path planning, it analyzes the A* search algorithm, the artificial potential field method, and the ant colony algorithm, and elaborates on the characteristics of these commonly used technologies. It also compares and analyzes the advantages of the improved technologies. Based on the above investigation and research, it makes prospects for the motion control methods and path planning of small Autonomous Underwater Vehicle.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_86How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jingqi Ma
PY  - 2025
DA  - 2025/08/31
TI  - Research on Motion Control Method and Path Planning for Small Autonomous Underwater Vehicle
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 899
EP  - 907
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_86
DO  - 10.2991/978-94-6463-821-9_86
ID  - Ma2025
ER  -