基于时间序列分析法的气垫船升沉运动预报

Heave motion prediction of hovercraft based on time series analysis method

针对受海浪干扰的气垫船升沉运动预报问题,首先,设计基于卡尔曼滤波原理的升沉位移估计器,根据测得的升沉加速度信号,估计气垫船的升沉位移;在此基础上,基于时间序列分析法建立自回归模型并对气垫船升沉运动进行预报.以一艘侧壁式气垫船为例进行仿真,结果验证了本文提出的气垫船升沉运动预报方法的有效性.

For the heave motion prediction of the hovercraft suffered from the wave disturbances, a heave displacement estimator based on Kalman filter was firstly designed to estimate the heave displacement from the measured heave acceleration signal. On the basis of this, the autoregressive model based on time series analysis was constructed to predict the heave displacement of the hovercraft. Simulations were carried out for a wall type hovercraft, and results demonstrate the effectiveness of the developed predicting method of the heave motion.