An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy
Utilizing thermal updrafts shows potential for enabling long-endurance cruising of fixed-wing unmanned aerial vehicles without energy consumption. This article presents a novel online method based on sparse identification of nonlinear dynamics (SINDy) approach to achievement identification of therma...
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MDPI AG
2024-10-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/11/10/858 |
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| author | Yufeng Lu Chenglou Liu Haichao Hong Yunwei Huang Tingwei Ji Fangfang Xie |
| author_facet | Yufeng Lu Chenglou Liu Haichao Hong Yunwei Huang Tingwei Ji Fangfang Xie |
| author_sort | Yufeng Lu |
| collection | DOAJ |
| description | Utilizing thermal updrafts shows potential for enabling long-endurance cruising of fixed-wing unmanned aerial vehicles without energy consumption. This article presents a novel online method based on sparse identification of nonlinear dynamics (SINDy) approach to achievement identification of thermal sources in the atmosphere. Initially, the algorithm is incorporated into the upper-level planning system, interacting with the lower-level controller. Then, experiments are conducted through software-in-the-loop simulations (SITL) to validate the implementation of the proposed algorithm. It is found that direct observation of thermal sources through measurements using SINDy is unfeasible during straight and circular flight modes. Nevertheless, simulation analysis of the proposed approach indicates that under unobservable conditions, a portion of the parameters can still be identified. By comparing results obtained using the particle filter algorithm, this method is shown to accurately estimate the parameters with negligible errors under observability conditions. The novelty of this approach lies in its significant improvement of the localization accuracy of the thermal source, without the need for parameter adjustments in the algorithm. Finally, the proposed methods are integrated into commonly used hardware platforms, and their online feasibility is verified through hardware-in-the-loop simulations. |
| format | Article |
| id | doaj-art-bce13bef991a41baa1bbdfa2d332eed5 |
| institution | OA Journals |
| issn | 2226-4310 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj-art-bce13bef991a41baa1bbdfa2d332eed52025-08-20T02:11:01ZengMDPI AGAerospace2226-43102024-10-01111085810.3390/aerospace11100858An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDyYufeng Lu0Chenglou Liu1Haichao Hong2Yunwei Huang3Tingwei Ji4Fangfang Xie5School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaSchool of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Mathematical Sciences, Zhejiang University, Hangzhou 310058, ChinaSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaUtilizing thermal updrafts shows potential for enabling long-endurance cruising of fixed-wing unmanned aerial vehicles without energy consumption. This article presents a novel online method based on sparse identification of nonlinear dynamics (SINDy) approach to achievement identification of thermal sources in the atmosphere. Initially, the algorithm is incorporated into the upper-level planning system, interacting with the lower-level controller. Then, experiments are conducted through software-in-the-loop simulations (SITL) to validate the implementation of the proposed algorithm. It is found that direct observation of thermal sources through measurements using SINDy is unfeasible during straight and circular flight modes. Nevertheless, simulation analysis of the proposed approach indicates that under unobservable conditions, a portion of the parameters can still be identified. By comparing results obtained using the particle filter algorithm, this method is shown to accurately estimate the parameters with negligible errors under observability conditions. The novelty of this approach lies in its significant improvement of the localization accuracy of the thermal source, without the need for parameter adjustments in the algorithm. Finally, the proposed methods are integrated into commonly used hardware platforms, and their online feasibility is verified through hardware-in-the-loop simulations.https://www.mdpi.com/2226-4310/11/10/858autonomous soaringstatic soaringparameter identificationenergy harvestingthermal updraftlong-endurance glider |
| spellingShingle | Yufeng Lu Chenglou Liu Haichao Hong Yunwei Huang Tingwei Ji Fangfang Xie An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy Aerospace autonomous soaring static soaring parameter identification energy harvesting thermal updraft long-endurance glider |
| title | An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy |
| title_full | An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy |
| title_fullStr | An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy |
| title_full_unstemmed | An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy |
| title_short | An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy |
| title_sort | online data driven method for accurate detection of thermal updrafts using sindy |
| topic | autonomous soaring static soaring parameter identification energy harvesting thermal updraft long-endurance glider |
| url | https://www.mdpi.com/2226-4310/11/10/858 |
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