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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pengyuan Shao Chengfu Wu Songhui Ma |
| Copyright Year | 2013 |
| Description | Author affiliation: Sci. & Technol. on UAV Lab., Xi'an, China (Pengyuan Shao; Chengfu Wu; Songhui Ma) |
| Abstract | Analyzing the recovery process of UAV via parachute, three key issues are concluded and studied: modeling of UAV-Parachute system, estimation of wind field and the control strategy for recovery, in which the first and the last are researched mainly. Spring of the rope is introduced to the UAV-Parachute model to reflect the attitudes of UAV and tensile forces of ropes in the process, Kalman filter is used to estimate the wind field, in the control strategy, realizability and robustness to wind-field are mainly taken account for. Taking uncertainty of wind field and random navigation error into consideration, Monte-Carlo simulation is performed for 30 times, and the Circular Error Probability (CEP) is 8.23m, which reveals satisfactory accuracy and robustness of the solution proposed. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 510615 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6719061 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Force Estimation Wind speed Robustness Accuracy Atmospheric modeling Drag Assigned point recovery UAV(Umanned Aerial Vehicle) Wind Field Estimation UAV-Parachute Model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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