Unmanned Surface Vehicle using a Leader-Follower Swarm Control Algorithm

Title
Unmanned Surface Vehicle using a Leader-Follower Swarm Control Algorithm
Author(s)
Lee, Jihyeong; Jeong, Sang Ki; Ji, Dae Hyeong; Park, Hae Yong; Kim, Do Young; Choo, Ki-Beom; Jung, Dongwook; Kim, Myungjun; Oh, Myoung Hak; Choi, Hyeung-sik
KIOST Author(s)
Lee, Jihyeong(이지형)Jeong, Sang Ki(정상기)Ji, Dae Hyeong(지대형)Park, Hae Yong(박해용)Kim, Do Young(김도영)Oh, Myoung Hak(오명학)
Alternative Author(s)
이지형; 정상기; 지대형; 박해용; 김도영; 오명학
Publication Year
2022-10-30
Abstract
To overcome the limitations of a single unmanned surface vehicle (USV), this study investigated swarm control algorithms of USVs. Among various swarm control methods, a leader–follower swarm control method was selected and studied. The performance of the swarm algorithm proposed in this study was verified through an actual sea area test. A USV was designed and manufactured by dividing the power and communication parts. The power system was equipped with a coulometer to monitor the battery state in real time to protect the system through a switch linked to the coulometer in the case of abnormalities in the battery and to prevent accidents. In addition, a communication system was established to process the sensor data and camera image data of the USV in real time. Consequently, the desired swarm formation was achieved through the separately constructed swarm control algorithm. Before the actual sea area test, individual performance tests of each sensor were conducted. Finally, the performance of the swarm algorithm was verified by conducting a sea area test. The performance of the controllers was confirmed to be good, and the swarm formation was confirmed to be successful.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/43657
Bibliographic Citation
The 11th International Multi-Conference on Engineering and Technology Innovation (IMETI2022), 2022
Publisher
Taiwan Association of Engineering and Technology Innovation
Type
Conference
Language
English
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse