Analysis of roll center compensation method for underwater gliders based on deep learning. (15th February 2022)
- Record Type:
- Journal Article
- Title:
- Analysis of roll center compensation method for underwater gliders based on deep learning. (15th February 2022)
- Main Title:
- Analysis of roll center compensation method for underwater gliders based on deep learning
- Authors:
- Wang, Cheng
Wang, Yanhui
Zhang, Runfeng
Niu, Wendong - Abstract:
- Abstract: Underwater glider (UG) is one of the most promising low-power and long-voyage autonomous ocean observation platforms. During the gliding, the roll regulation unit (RRU) frequently works to regulate the disturbed heading due to the influence of time-varying current, biofouling, and cumulative error of RRU. In this paper, an accurate energy consumption model of RRU ( E RRU ) is established to quantify the impact of RRU on the overall energy consumption, and the trial data collected by the Petrel-L glider, China, in the South China Sea are used to verify the accuracy of E RRU . To minimize the working frequency of RRU, a new roll center compensation method (RCCM) is proposed based on variational mode decomposition and long short-term memory (VMD-LSTM). This study analyzes six classical prediction methods based on deep learning, and the VMD-LSTM at k = 5 method is the optimal one to predict the deviation of roll center for UGs. The results indicate that the proposed RCCM can obtain accurate and reliable compensation value for the roll center and effectively restrain the working frequency of RRU. Compared with the data before compensation, the E RRU of the Petrel-L glider is reduced by approximately 22%. Furthermore, the RCCM can apply to other similar UGs. Highlights: A mathematical energy consumption model of roll regulation unit (RRU) for the glider is established. The VMD-LSTM ( k = 5) method is the optimal one to predict the deviation of roll center for theAbstract: Underwater glider (UG) is one of the most promising low-power and long-voyage autonomous ocean observation platforms. During the gliding, the roll regulation unit (RRU) frequently works to regulate the disturbed heading due to the influence of time-varying current, biofouling, and cumulative error of RRU. In this paper, an accurate energy consumption model of RRU ( E RRU ) is established to quantify the impact of RRU on the overall energy consumption, and the trial data collected by the Petrel-L glider, China, in the South China Sea are used to verify the accuracy of E RRU . To minimize the working frequency of RRU, a new roll center compensation method (RCCM) is proposed based on variational mode decomposition and long short-term memory (VMD-LSTM). This study analyzes six classical prediction methods based on deep learning, and the VMD-LSTM at k = 5 method is the optimal one to predict the deviation of roll center for UGs. The results indicate that the proposed RCCM can obtain accurate and reliable compensation value for the roll center and effectively restrain the working frequency of RRU. Compared with the data before compensation, the E RRU of the Petrel-L glider is reduced by approximately 22%. Furthermore, the RCCM can apply to other similar UGs. Highlights: A mathematical energy consumption model of roll regulation unit (RRU) for the glider is established. The VMD-LSTM ( k = 5) method is the optimal one to predict the deviation of roll center for the glider. A roll center compensation method (RCCM) is proposed to minimize the working frequency of RRU. The energy consumption of RRU with RCCM is reduced by approximately 22% in sea trial. … (more)
- Is Part Of:
- Ocean engineering. Volume 246(2022)
- Journal:
- Ocean engineering
- Issue:
- Volume 246(2022)
- Issue Display:
- Volume 246, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 246
- Issue:
- 2022
- Issue Sort Value:
- 2022-0246-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02-15
- Subjects:
- Roll center compensation method -- Long short-term memory -- Deep learning -- Underwater glider
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2022.110529 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20849.xml