Simulation Research of Full-Ocean-Depth Manned Submersible Based on Experimental Data
文献类型：会议论文
| 作者 | Deng C(邓超)1,2,3,4; Zhao B( 赵兵)2,3,4; Yang MY(杨鸣宇)2,3,4 ; Zhao Y(赵洋)2,3,4
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| 出版日期 | 2022 |
| 会议日期 | February 25-27, 2022 |
| 会议地点 | Changchun, China |
| 关键词 | manned submersible neural network motion simulation |
| 页码 | 468-471 |
| 英文摘要 | The motion simulation of manned submersible plays an important role in the whole submersible development. During the actual operation of manned submersible, it is affected by the factors such as deep ocean current, model uncertainty and unmodeled dynamics, which make the traditional simulation results differ greatly from the actual results. Taking 'Fen Douzhe' manned submersible as the research object, the kinematic and dynamic models were established, and the system disturbance was estimated by using long and short term memory neural network, and the model was verified by simulation calculation with the experimental data of 'Fen Douzhe'. The effectiveness of the simulation method is verified by comparing the simulation results with the actual experimental data. |
| 产权排序 | 1 |
| 会议录 | 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-1606-1 |
| 源URL | [http://ir.sia.cn/handle/173321/30842]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 通讯作者 | Zhao B( 赵兵) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.Key Laboratory of Marine Robotics, Liaoning Province, Shenyang, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Deng C,Zhao B,Yang MY,et al. Simulation Research of Full-Ocean-Depth Manned Submersible Based on Experimental Data[C]. 见:. Changchun, China. February 25-27, 2022. |
入库方式： OAI收割
来源：沈阳自动化研究所
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