海洋平台的时域低阶建模与主动控制研究

摘要

以海洋平台为对象,开展时域低阶建模与主动控制的研究.首先采用观测器/Kalman滤波器的系统辨识方法,根据系统的输入和输出时间历程数据计算出系统的Markov参数,然后采用特征系统实现方法建立起一个阶数较低的系统状态空间模型,随后基于该低阶模型采用线性二次型高斯算法进行控制律的设计,最后将该控制律引入到系统的有限元模型中进行反馈闭环控制,验证控制律的有效性.数值仿真结果显示,所给方法是有效和可行的.%This paper presents the studies on low-order time-domain dynamic modeling and active control of an offshore platform.Firstly,based on the input-output data of the system,the method of observer/kalman filter identification（OKID）is used to identify the Markov parameters of the system.Then a low-dimensional state-space model of the system is established by using the eigensystem realization algorithm（ERA）.The linear quadratic Gaussian（LQG）controller is designed based on the low-dimensional state-space model.Finally,the controller designed is introduced into the finite element model of the system to verify the effectiveness of the controller.Numerical results indicate the effectiveness and feasibility of the studies in this paper.