Simulation Research of Full-Ocean-Depth Manned Submersible Based on Experimental Data

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 水下机器人研究室

	Simulation Research of Full-Ocean-Depth Manned Submersible Based on Experimental Data
	Deng C(邓超)1,2,3,4; Zhao B( 赵兵)1,2,3; Yang MY(杨鸣宇)1,2,3; Zhao Y(赵洋)1,2,3
	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
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
内容类型	会议论文
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.Key Laboratory of Marine Robotics, Liaoning Province, Shenyang, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 4.University of Chinese Academy of Sciences, Beijing, 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.