{"title":"可悬停无尾扑翼微型飞行器动力学建模的实验方法","authors":"Heyu Cao, Jianghao Wu, Cheng Cheng, Yanlai Zhang, Long Chen, Peng Tang","doi":"10.1007/s42235-026-00957-z","DOIUrl":null,"url":null,"abstract":"<div><p>Despite the exceptional maneuverability of hover-capable tailless flapping-wing micro air vehicles, the inherent complexity of their unsteady aerodynamics poses significant challenges for developing precise dynamic models for controller design. To address this, this paper proposes ground-based damping pendulum experiments to construct a full damping dynamic model that incorporates parasitic drag damping. The parasitic drag damping is decoupled from flapping-induced damping by experimentally measuring the damping coefficients across three configurations: with wings and flapping, with wings and no flapping, and without wings. Quantitative analysis reveals that, compared with a model that considers only flapping-induced damping, the full damping dynamic model predicts the oscillation periods of longitudinal and lateral unstable modes decrease by 4.27% and 2.24%, respectively. The accuracy of the full damping model is validated by cascaded PID closed-loop control simulations; compared to flight test data, the root-mean-square errors for pitch and roll attitudes are only 1.78° and 2.78°, respectively. Furthermore, this study investigates the influence of wing geometry on aerodynamic derivatives. Results indicate that flapping-induced damping effects increase as the aspect ratio decreases. Finally, an experimentally corrected aerodynamic derivative estimation method is established. This study provides a feasible empirical modeling framework for the conceptual design and controller synthesis of FWMAVs.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"23 5","pages":"2823 - 2838"},"PeriodicalIF":4.4000,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Experimental Method for Dynamic Modeling of Hover-capable Tailless Flapping-wing Micro Air Vehicles\",\"authors\":\"Heyu Cao, Jianghao Wu, Cheng Cheng, Yanlai Zhang, Long Chen, Peng Tang\",\"doi\":\"10.1007/s42235-026-00957-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Despite the exceptional maneuverability of hover-capable tailless flapping-wing micro air vehicles, the inherent complexity of their unsteady aerodynamics poses significant challenges for developing precise dynamic models for controller design. To address this, this paper proposes ground-based damping pendulum experiments to construct a full damping dynamic model that incorporates parasitic drag damping. The parasitic drag damping is decoupled from flapping-induced damping by experimentally measuring the damping coefficients across three configurations: with wings and flapping, with wings and no flapping, and without wings. Quantitative analysis reveals that, compared with a model that considers only flapping-induced damping, the full damping dynamic model predicts the oscillation periods of longitudinal and lateral unstable modes decrease by 4.27% and 2.24%, respectively. The accuracy of the full damping model is validated by cascaded PID closed-loop control simulations; compared to flight test data, the root-mean-square errors for pitch and roll attitudes are only 1.78° and 2.78°, respectively. Furthermore, this study investigates the influence of wing geometry on aerodynamic derivatives. Results indicate that flapping-induced damping effects increase as the aspect ratio decreases. Finally, an experimentally corrected aerodynamic derivative estimation method is established. This study provides a feasible empirical modeling framework for the conceptual design and controller synthesis of FWMAVs.</p></div>\",\"PeriodicalId\":614,\"journal\":{\"name\":\"Journal of Bionic Engineering\",\"volume\":\"23 5\",\"pages\":\"2823 - 2838\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2026-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Bionic Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s42235-026-00957-z\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Bionic Engineering","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s42235-026-00957-z","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
An Experimental Method for Dynamic Modeling of Hover-capable Tailless Flapping-wing Micro Air Vehicles
Despite the exceptional maneuverability of hover-capable tailless flapping-wing micro air vehicles, the inherent complexity of their unsteady aerodynamics poses significant challenges for developing precise dynamic models for controller design. To address this, this paper proposes ground-based damping pendulum experiments to construct a full damping dynamic model that incorporates parasitic drag damping. The parasitic drag damping is decoupled from flapping-induced damping by experimentally measuring the damping coefficients across three configurations: with wings and flapping, with wings and no flapping, and without wings. Quantitative analysis reveals that, compared with a model that considers only flapping-induced damping, the full damping dynamic model predicts the oscillation periods of longitudinal and lateral unstable modes decrease by 4.27% and 2.24%, respectively. The accuracy of the full damping model is validated by cascaded PID closed-loop control simulations; compared to flight test data, the root-mean-square errors for pitch and roll attitudes are only 1.78° and 2.78°, respectively. Furthermore, this study investigates the influence of wing geometry on aerodynamic derivatives. Results indicate that flapping-induced damping effects increase as the aspect ratio decreases. Finally, an experimentally corrected aerodynamic derivative estimation method is established. This study provides a feasible empirical modeling framework for the conceptual design and controller synthesis of FWMAVs.
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.