Modeling of wave energy absorption based on BP neural network for underwater vehicles

Author

Zhang, Ying ; Dong, Zaili ; Wu, Chendong

Author_Institution

Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang

fYear

2008

fDate

25-27 June 2008

Firstpage

2225

Lastpage

2229

Abstract

As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and dynamics equations are established. Neural network with learning rate adaptation is adopted to model in time domain. The results obtained by simulation software and by BP neural network are compared, which validate the method used are correct and make basis on future research.

Keywords

backpropagation; neural nets; ocean waves; pendulums; time-domain analysis; underwater vehicles; BP neural network; dynamics equations; energy absorption efficiency; inertial pendulum; learning rate adaptation; renewable energy; simulation software; time domain; underwater vehicles; wave energy absorption; wave energy utilization; Absorption; Equations; Marine technology; Mathematical model; Neural networks; Oceans; Power supplies; Renewable energy resources; Underwater vehicles; Vehicle dynamics; BP network with learning rate adaptation; Capture width ratio; Energy absorption efficiency; Inertial pendulum; Wave energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593269

Filename

4593269