| Title | In-flight Wind Field Identification and Prediction of Parafoil Systems |
| Authors | Gao, Haitao Tao, Jin Dehmer, Matthias Emmert-Streib, Frank Sun, Qinglin Chen, Zengqiang Xie, Guangming Zhou, Quan |
| Affiliation | Anhui Sci & Technol Univ, Coll Elect & Elect Engn, Bengbu 233030, Peoples R China Aalto Univ, Dept Elect Engn & Automat, Espoo 02150, Finland Peking Univ, Coll Engn, Beijing 100871, Peoples R China Univ Appl Sci Upper Austria, Campus Steyr,Wehrgrabengasse 1, A-4040 Steyr, Austria Nankai Univ, Coll Artificial Intelligence, Tianjin 300071, Peoples R China Tampere Univ, Predict Soc & Data Analyt Lab, Fac Informat Technol & Commun Sci, Tampere 33100, Finland Inst Biosci & Med Technol, Tampere 33520, Finland |
| Issue Date | Mar-2020 |
| Publisher | APPLIED SCIENCES-BASEL |
| Abstract | The wind field is an essential factor that affects accurate homing and flare landing of parafoil systems. In order to obtain the ambient wind field during the descent of a parafoil system, a combination method of in-flight wind field identification and prediction is proposed. First, a wind identification method only using global position system information is derived based on the flight dynamics of parafoil systems. Then a wind field prediction model is constructed using the atmospheric dynamics, and the low-altitude wind field is predicted based on the identified wind field of high-altitude. Finally, simulations of wind field identification and prediction are conducted. The results demonstrate that the proposed method can identify the wind fields precisely and also predict the wind fields reasonably. This method can potentially be applied in practical parafoil systems to provide wind field information for homing tasks. |
| URI | http://hdl.handle.net/20.500.11897/588537 |
| DOI | 10.3390/app10061958 |
| Indexed | SCI(E) Scopus |
| Appears in Collections: | 工学院 |
