基于小波降噪的数据融合理论在升力反馈控制减摇鳍中的应用

Application of Wavelet Denoising Based Data Fusion Theory to Fin Stabilizers with Lift Force Feedback Control

在升力反馈控制减摇鳍伺服系统中采用升力/鳍角综合控制方法,修正升力反馈检测信号.构建基于小波降噪的数据融合模型,它综合升力、鳍角传感器的不同频带信息,消除信息之间的冗余和矛盾,利用信息之间的互补来获得对升力信号相对完整一致的描述.通过分析仿真结果,应用数据融合模型的控制系统在各种海况下都能够达到良好平稳的减摇效果.

Fin-lift/fin-angle integrated control method is adopted in the servo system of fin stabilizers with lift force feedback control, which can modify the lift force feedback detection signal. The data fusion model is built based on wavelet denoising algorithm, and the different bandwidth information from the lift force and fin angle sensors are integrated to smooth out the redundant and contrary information. So the relatively integrated lift force signal is obtained by using complementary action of all information. The analysis on simulation results demonstrates the good anti-rolling performance by employing the data fusion model in control system in different sea conditions.