基于ADAMS和BP网络的水下载体波浪能吸收效率研究

Modelling of Wave Energy Absorption System for Underwater Vehicle Based on ADAMS and BPNN

水下机器人等水下载体能量自补给问题是提高其工作效率、延长工作时间的关键技术问题。波浪能作为可再生绿色能源之一,将其作为水下载体的能量一直是国内外研究的热点内容,而能量吸收效率问题是研究的关键。提出基于惯性摆结构的波浪能吸收转换方法,建立其动力学方程,通过ADAMS获得不同确定条件下的能量输出效率,并采用BP神经网络方法进行建模,通过与ADAMS建模获取的结果进行对比,验证了训练所得模型的正确性,为进一步的分析研究奠定了基础。

Energy self-supply is one of the most important problems in artificial underwater carrier,such as underwater vehicle,which can improve work efficiency and prolong work time.As one of the renewable energy,the absorption and utilization of wave energy is always an important research field home and abroad,and energy obtain efficiency is the key.A wave energy absorption system based on inertial pendulum is presented,and dynamic equitions are established.The energy absorption efficiency in different conditions are obtained by ADAMS,and BP neural network is adopted to model.The results obtained by ADAMS and by BP neural network are compared,which validate the method used are correct and make basis on future research.