Construction of a digital twin system for the blended-wing-body underwater glider

水下滑翔机 PID控制器 滑翔机 海洋工程 沉降时间 水下 忠诚 超调(微波通信) 过程(计算) 无人水下航行器 设计过程 声纳 工程类 模拟 控制工程 系统工程 计算机科学 地质学 海洋学 人工智能 在制品 阶跃响应 温度控制 电气工程 操作系统 运营管理
作者
Shanshan Hu,Qingwei Liang,Hancheng Huang,Cheng Yang
出处
期刊:Ocean Engineering [Elsevier BV]
卷期号:270: 113610-113610 被引量:25
标识
DOI:10.1016/j.oceaneng.2022.113610
摘要

The complexity of the marine environment adds unpredictable difficulties to researchers’ exploration. To study the application prospects of high-fidelity digital models to the maritime field, this study adopts the blended-wing-body underwater glider (BWBUG) as an example. A novel construction approach of an underwater simulation platform is proposed based on digital twin (DT) technology. The building process is described from the perspectives of geometry, physics , environment and behavior. Based on the Gazebo simulation platform, the proposed approach includes the construction of a high-fidelity model for underwater scenarios and is equipped with a vehicle body containing various sensors. Under the influence of ocean currents , the twin sensor data are integrated in the proportional–integral–derivative (PID) control algorithm, combined with a robot operating system (ROS), to achieve its pitch attitude control . The overshoot was reduced to at most 0.06% and the settling time is reduced to 29.5 s compared with the traditional PID. The results demonstrate that the proposed framework not only validates the implementability of control algorithms for unmanned systems in actual marine environment, but also has the potential for performance prediction, design improvement, and safety assessment in the next generation vehicle design process. • A novel construction approach for underwater gliders based on DT technology. • The building process includes geometry, physics, environment and behavior. • A method for constructing high-fidelity underwater scenarios in different regions. • Models equipped with a BWBUG containing various sensors are established. • Sensors twin data is used to improve pitch control.
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