Design of a Remote Attitude Feedback Control System for Unmanned Surface Vehicles Based on the Extended Kalman Filter
Authors: 
Ziwei Li, Haohua Li, Zhifang Zhu, Zhiyuan Wang, Jian Xiao, Xiaohuang Zhan, Quanguo Lu, Hongzhou WangAuthors Info & Claims
Ziwei Li, Haohua Li, Zhifang Zhu, Zhiyuan Wang, Jian Xiao, Xiaohuang Zhan, Quanguo Lu, Hongzhou WangAuthors Info & ClaimsPages 144 - 148
Abstract
This article presents a novel remote control system for unmanned surface vehicles (USV) that leverages Extended Kalman Filter (EKF) and Inertial Measurement Unit (IMU) technology. USV are gaining prominence in research due to their effectiveness and adaptability in aquatic exploration and monitoring missions. To enhance the remote situational awareness of USV operating in complex marine environments, this study introduces a remote control system based on EKF and IMU technologies. Furthermore, the proposed system integrates 5G communication technology, efficient video transmission, and data transfer capabilities to provide operators with comprehensive environmental perception and reliable remote control functionality. The primary goal of this system is to facilitate efficient USV remote control by integrating precise attitude estimation with advanced 5G-based control strategies.
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Index Terms
- Design of a Remote Attitude Feedback Control System for Unmanned Surface Vehicles Based on the Extended Kalman Filter
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June 2024
399 pages
ISBN:9798400709937
DOI:10.1145/3687488
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Association for Computing Machinery
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Published: 18 November 2024
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ICCIR 2024
ICCIR 2024: 2024 4th International Conference on Control and Intelligent Robotics
June 21 - 23, 2024
Guangzhou, China
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Overall Acceptance Rate 131 of 239 submissions, 55%
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