改进型卡尔曼滤波器应用于主蒸汽温度控制的研究

Study on Predictive Control of Fresh Steam Temperature by Using Advanced Kalam Filters

基于锅炉热力过程建立了主汽温和燃料量的计算数学模型,采用改进型卡尔曼滤波器和经典的比例积分环节相结合的动态控制回路,并且以燃料量为输入,主蒸汽温度作为被控对象,并且将该控制系统分别应用到600MW超临界直流锅炉冷态启动过程和自然循环锅炉的变工况过程进行模拟仿真,结果表明:预测控制值和燃料的相应补偿量都达到了满意的测量和调节效果。

A mathematical simulation model, based on the thermal process of boilers, was set up for fresh steam temperature and fuel consumption, Taking coal consumption as the input, and fresh steam temperature as the object to be controlled, the model adopted a dynamic control circuit, which combines the improved Kalam filter with conventional proportional-integration components. This control system was used in the simulation respectively of a 600 MW supercritical once-through boiler＇s cold start and some load variation processes of a natural circulation boiler. Results showed that the predicted control effect and the indicated corresponding amount of fuel compensation were both satisfactory. Figs 3 and refs 5.