波浪运动补偿平台广义升沉位移的实时预报  

Real time prediction for generalized heave displacement of a wave motion compensating platform

作　　者：魏栋[1] 叶家玮[1] 吴晞[2] 

机构地区：[1]华南理工大学,广东广州510640 [2]海军兵种指挥学院,广东广州510430

出　　处：《舰船科学技术》2009年第2期129-133,共5页Ship Science and Technology

基　　金：广东省自然科学基金资助项目(7035774)

摘　　要：具有波浪运动补偿功能的稳定平台可有效减少船舶在风浪中的摇摆和升沉运动对某些海上作业和设备的影响。为了有效地进行波浪运动补偿,需要对该平台的广义升沉位移(横摇、纵摇以及升沉的耦合作用结果)进行极短时预报。本文采用时间序列分析理论中的自回归(AR)模型作为预报模型,对波浪运动补偿平台的广义升沉位移进行极短时预报。在以往的研究中,通常采用递推最小二乘法AR模型进行在线参数估计。但是采用递推最小二乘法进行参数估计容易引起参数爆发,从而影响AR模型的稳定性。针对该问题,本文采用阻尼递推最小二乘法对AR模型进行在线参数估计,并结合实验获得的平台控制点的广义升沉位移数据进行实时建模预报。仿真结果表明,采用阻尼递推最小二乘法进行参数估计能抑制参数爆发,并能提高AR模型实时预报精度。A stable platform system having the function of wave motion compensation on the ship can decrease the impact of the ship swinging and heaving on some sea work and equipment. In order to compensate wave motion effectively, the prediction for the generalized heave displacement （the coupling result of roll, pitch and heave） of the platform is needed. In this paper, an auto regressive （AR） prediction model is introduced to predict the generalized heave displacements of the platform. A recursive least square （RLS） algorithm is commonly used to estimate the parameters of AR prediction model. However, the parameter estimation based on RLS algorithm is easy to blow up and be unstable when the system has random noise. To improve the problem, a damped recursive least square （DRLS）algorithm is proposed to estimate the parameters on line. Using the collected real time data, the simulations suggest the DRLS algorithm is able to prevent parameters from blowing up and increase the precision of predictions.

关 键 词：波浪运动补偿平台 阻尼递推最小二乘法 预报 自回归模型 

分 类 号：U661.1[交通运输工程—船舶及航道工程]