基于卡尔曼滤波器的蒸汽发生器水位辨识和仿真

Identification and simulation for steam generator water level based on Kalman Filter

为了实现对蒸汽发生器(SG)水位的有效控制,从现代控制论中观测器理论着手,提出一种基于卡尔曼滤波器的假水位检测方法。卡尔曼滤波器是对包含噪声的测定值来估计状态量的有效工具,用卡尔曼滤波器构造一个"假水位"观测器,能够较有效地得到假水位的状态变量。应用该模型对几种典型的反应堆运行功率下SG水位动力学特性进行了仿真计算,结果表明卡尔曼滤波器仿真模型正确辨识出由于SG运行中的逆动力学效应而产生的"假水位",利用该模型可以对SG水位动力学特性进行精确的分析。

In order to effectively control the water level of the steam generator （SG）, this paper has set about the state-observer theory in modern control and put forward a method to detect the＂false water level＂ based on Kalman Filter. Kalman Filter is a efficient tool to estimate state-variable by measured value including noise. For heavy measurement noise of steam flow, constructing a ＂false water level＂ observer by Kalman Filter could availably obtain state variable of ＂false water level＂. The simulation computing for the dynamics characteristic of nuclear SG water level process under several typically running power was implemented by employing the simulation model. The result shows that the simulation model accurately identifies the ＂false water level＂ produced in the reverse thermal-dynamic effects of nuclear SG water level process. The simulation model can realize the precise analysis of dynamics characteristic for the nuclear SG water level process. It can provide a kind of new ideas for the ＂false water level＂ detecting of SG.