Modeling of Flapping Wing Aerial Vehicle Using Hybrid Phase-functioned Neural Network Based on Flight Data

IF 5.8 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Zhihao Zhao, Zhiling Jiang, Chenyang Zhang, Guanghua Song
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引用次数: 0

Abstract

Modeling the dynamics of flapping wing aerial vehicle is challenging due to the complexity of aerodynamic effects and mechanical structures. The aim of this work is to develop an accurate dynamics model of flapping wing aerial vehicle based on real flight data. We propose a modeling framework that combines rigid body dynamics with a neural network to predict aerodynamic effects. By incorporating the concept of flapping phase, we significantly enhance the network’s ability to analyze transient aerodynamic behavior. We design and utilize a phase-functioned neural network structure for aerodynamic predictions and train the network using real flight data. Evaluation results show that the network can predict aerodynamic effects and demonstrate clear physical significance. We verify that the framework can be used for dynamic propagation and is expected to be utilized for building simulators for flapping wing aerial vehicles.

Abstract Image

基于飞行数据的扑翼飞行器混合相函数神经网络建模
扑翼飞行器的动力学建模由于其气动效应和机械结构的复杂性而具有挑战性。本文的目的是建立一个基于实际飞行数据的扑翼飞行器精确的动力学模型。我们提出了一个结合刚体动力学和神经网络的建模框架来预测气动效应。通过引入扑动相位的概念,大大提高了网络分析瞬态气动特性的能力。我们设计并利用相函数神经网络结构进行气动预测,并使用真实飞行数据对网络进行训练。评估结果表明,该网络可以预测气动效应,具有明确的物理意义。我们验证了该框架可以用于动态传播,并有望用于构建扑翼飞行器的模拟器。
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来源期刊
Journal of Bionic Engineering
Journal of Bionic Engineering 工程技术-材料科学:生物材料
CiteScore
7.10
自引率
10.00%
发文量
162
审稿时长
10.0 months
期刊介绍: The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to: Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion. Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials. Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices. Development of bioinspired computation methods and artificial intelligence for engineering applications.
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