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| 摘要: |
| 汽包水位是锅炉安全运行的重要参数,列举了影响汽包水位变化的各种因素并且建立了锅炉汽包系统各输入、输出变量间的影响模型。分析了卡尔曼滤波在多传感器信息融合处理中的特点,在DRZ/T01-2004规定的基础上,提出了一个以卡尔曼滤波为底层传感信号融合方法为基础,结合其他聚类融合方法,引入多种类、多数量传感器信号和控制决策预测信号的汽包水位多传感器数据融合控制系统。基于此,设计了卡尔曼滤波在多传感器数据融合处理中的具体实现方法,并借助Matlab仿真,分别测试了卡尔曼滤波在单通道传感信号滤波以及多传感器信息融合中使用的效果。仿真结果证明了所设计的系统能够准确、快速的融合处理底层传感器信号,并作出有效的控制决策。 |
| 关键词: 卡尔曼滤波,汽包水位,多传感器系统,信息融合 |
| DOI： |
| 分类号:TP274 |
| 基金项目: |
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| Data fusion based on Kalman filter for multi-sensor of drum water level |
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LIU Jingyu FANG Yanjan
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| Abstract: |
| Drum water level is one of the most important parameters for boiler safety operation,and its control model is established based on its influence factors. The characters of data fusion method based on Kalman filter are analyzed and a multi - sensor data fusion control system is designed based on the criterion of DRZ / T01 - 2004,which uses Kalman filter,combined with other clustering methods,to fuse the data from multiple sensors of different kinds and the control forecasts. Its implementation is detailed and the performances of Kalman filter are tested with Matlab simulation,including single channel filtering and multi - sensor data fusion. Simulation results show its excellent performance in data fusion and control decisions making. |
| Key words: Kalman filter,drum level,multi - sensor system,data fusion |
