Construction Method of Digital Twin USV Capability Model

Zishuai Wang, Wei Han, Sheng-Li Song, Fuyu Luo, Rulei Liu, Wei Wang
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Abstract

As an important enabling technology to realize advanced concepts such as digitization, intelligence and service, digital twin has attracted the attention of academia and industry. There are few relevant research in the field of USV, and how to implement the application is the focus of attention. Through the research on the software and hardware architecture of USV, this paper constructs the capability model of digital twin USV (hereinafter referred to as capability model), including kinetic model, load model and decision service, and modifies the model combined with real data. In order to verify the practicability of the capability model, a dynamic obstacle avoidance scene is constructed, and the data interaction between scene and model is realized. The capability and algorithm verification of the capability model in the scene are completed with the planning control software. The results show that the digital twin capability model has a certain reference significance for the simulation and verification of the algorithm and navigation control accuracy of USV.
数字孪生USV能力模型的构建方法
数字孪生作为实现数字化、智能化、服务化等先进理念的重要使能技术,已引起学术界和业界的广泛关注。目前在无人潜航器领域的相关研究较少,如何实现无人潜航器的应用一直是人们关注的焦点。通过对USV软硬件体系结构的研究,构建了数字孪生USV的能力模型(以下简称能力模型),包括动力学模型、负载模型和决策服务,并结合实际数据对模型进行了修正。为了验证能力模型的实用性,构建了一个动态避障场景,实现了场景与模型之间的数据交互。利用规划控制软件完成了能力模型在场景中的能力验证和算法验证。结果表明,所建立的数字孪生能力模型对无人潜航器算法和导航控制精度的仿真验证具有一定的参考意义。
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