NDLI: Balance parameters calculation method of underwater glider based on BP neural network

Content Provider	IEEE Xplore Digital Library
Author	Qian-li Jiang Lei-Han Xiang-Dong Wang Hua-Yang Da-Lei Song
Copyright Year	2015
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China (Qian-li Jiang; Lei-Han; Xiang-Dong Wang; Hua-Yang) \|\| Coll. of Eng., Ocean Univ. of China, Qingdao, China (Da-Lei Song)
Abstract	Underwater glider is a long-range autonomous underwater vehicle for oceanographic research that propels them through the ocean by changing their buoyancy. Balance parameters usually obtained through experiments. These kind of inaccurate parameters have a great influence on gliders gliding. In this article, a balance parameters calculation method of underwater glider based on BP neural network is presented. This study aims to find one of the most suitable balance parameters to improve the control effect of vehicles. Three steps are put forward to implement this approach. First, do at least two groups of pitch adjusting tests in the water and record the related data at the same time. Second, extract data and data preprocessing. Finally, use the BP Neural Network model to calculate balance parameters. The results of Qian-dao Lake test show that these parameters are appropriate and this calculation method is feasible. A further sea trial continues.
Starting Page	1
Ending Page	3
File Size	352449
Page Count	3
File Format	PDF
e-ISBN	9781479987368
DOI	10.1109/OCEANS-Genova.2015.7271390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Lakes Batteries Training Testing Training data Oceans training and Testing BP Neural Network Network structure design
Content Type	Text
Resource Type	Article

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