Modeling of Wave Energy Absorption System for Underwater Vehicle Based on PSORBF Neural Networks
Technology of energy self-supply which can improve the work efficiency and extend the work time is significant for underwater carrier, such as underwater vehicle. 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. A method based on PSORBF neural network is adopted to model in time domain. The results obtained by simulation software and by neural network are compared, which validate the method used to be correct and make basis on future research.
wave energy underwater carrier ADAMS energy absorption efficiency PSORBF neural network
Ying Zhang Mengxin Li Ke Xu Zaili Dong
Information & Control Engineering Faculty Shenyang Jianzhu University Shenyang,110168,China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016, China
国际会议
厦门
英文
133-137
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）