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.
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.