Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model
Combination prediction models have gained great development in the area of information science, and are widely applied in engineering fields. The underwater glider (UG) is a new type of unmanned vehicle used in ocean observation for the advantages of long endurance, low noise, etc. However, due to i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/5/972 |
| _version_ | 1797599491539337216 |
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| author | Runfeng Zhang Wendong Niu Xu Wan Yining Wu Dongyang Xue Shaoqiong Yang |
| author_facet | Runfeng Zhang Wendong Niu Xu Wan Yining Wu Dongyang Xue Shaoqiong Yang |
| author_sort | Runfeng Zhang |
| collection | DOAJ |
| description | Combination prediction models have gained great development in the area of information science, and are widely applied in engineering fields. The underwater glider (UG) is a new type of unmanned vehicle used in ocean observation for the advantages of long endurance, low noise, etc. However, due to its lower speed relative to the ocean current, the surfacing positioning point (SPP) of an UG often drifts greatly away from the preset waypoint. Therefore, this paper proposes a new combination model for predicting the SPP at different time scales. First, the kinematic model and working flow of the Petrel-L glider is analyzed. Then, this paper introduces the principles of a newly proposed combination model which integrates single prediction models with optimal weight. Afterwards, to make an accurate prediction, ocean current data are interpolated and averaged according to the diving depth of UGs as an external influencing factor. Meanwhile, with sea trial data collected in the northern South China Sea by Petrel-L, which had a total range of 4230.5 km, SPPs are predicted using single prediction models at different time scales, and the combination weights are derived with a novel simulated annealing optimized Frank–Wolfe method. Finally, the evaluated results demonstrate that the MAE and MSE are 966 m and 969 m, which proves that the single models achieved good performance under specified situations, and the combination model performed better at full scale because it integrates the advantages of the single models. Furthermore, the predicted SPPs will be helpful in the dead reckoning of the UG, and the proposed new combination method could extend into other fields for prediction. |
| first_indexed | 2024-03-11T03:36:12Z |
| format | Article |
| id | doaj.art-1e6b6f98b28146a6be57bf7ef0608c73 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T03:36:12Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-1e6b6f98b28146a6be57bf7ef0608c732023-11-18T01:59:20ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-0111597210.3390/jmse11050972Surfacing Positioning Point Prediction of Underwater Glider with a New Combination ModelRunfeng Zhang0Wendong Niu1Xu Wan2Yining Wu3Dongyang Xue4Shaoqiong Yang5Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, ChinaKey Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin 300350, ChinaKey Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin 300350, ChinaTianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, ChinaSchool of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaKey Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin 300350, ChinaCombination prediction models have gained great development in the area of information science, and are widely applied in engineering fields. The underwater glider (UG) is a new type of unmanned vehicle used in ocean observation for the advantages of long endurance, low noise, etc. However, due to its lower speed relative to the ocean current, the surfacing positioning point (SPP) of an UG often drifts greatly away from the preset waypoint. Therefore, this paper proposes a new combination model for predicting the SPP at different time scales. First, the kinematic model and working flow of the Petrel-L glider is analyzed. Then, this paper introduces the principles of a newly proposed combination model which integrates single prediction models with optimal weight. Afterwards, to make an accurate prediction, ocean current data are interpolated and averaged according to the diving depth of UGs as an external influencing factor. Meanwhile, with sea trial data collected in the northern South China Sea by Petrel-L, which had a total range of 4230.5 km, SPPs are predicted using single prediction models at different time scales, and the combination weights are derived with a novel simulated annealing optimized Frank–Wolfe method. Finally, the evaluated results demonstrate that the MAE and MSE are 966 m and 969 m, which proves that the single models achieved good performance under specified situations, and the combination model performed better at full scale because it integrates the advantages of the single models. Furthermore, the predicted SPPs will be helpful in the dead reckoning of the UG, and the proposed new combination method could extend into other fields for prediction.https://www.mdpi.com/2077-1312/11/5/972underwater glider (UG)surfacing positioning point (SPP)combination prediction modeloceanic depth-averaged current |
| spellingShingle | Runfeng Zhang Wendong Niu Xu Wan Yining Wu Dongyang Xue Shaoqiong Yang Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model Journal of Marine Science and Engineering underwater glider (UG) surfacing positioning point (SPP) combination prediction model oceanic depth-averaged current |
| title | Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model |
| title_full | Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model |
| title_fullStr | Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model |
| title_full_unstemmed | Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model |
| title_short | Surfacing Positioning Point Prediction of Underwater Glider with a New Combination Model |
| title_sort | surfacing positioning point prediction of underwater glider with a new combination model |
| topic | underwater glider (UG) surfacing positioning point (SPP) combination prediction model oceanic depth-averaged current |
| url | https://www.mdpi.com/2077-1312/11/5/972 |
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