基于FGR的循环型工业锅炉节能控制系统设计  

Design of Emission Control System for Circulating Industrial Boiler Based on FGR

作　　者：李冬屹[1] 许崇涛[1] 郑桂红[1] LI Dong-yi;XU Chong-tao;ZHENG Gui-hong(Tianjin Special Equipment Inspection Institute,Tianjin 300192)

机构地区：[1]天津市特种设备监督检验技术研究院,天津300192

出　　处：《环境技术》2019年第5期203-207,共5页Environmental Technology

摘　　要：为提升工业锅炉工作的控制精度,以及使用寿命,设计一种基于FGR系统的循环型工业锅炉控制系统。首先将该锅炉预测控制结果调整输送,控制过程中采用BP-adaboost算法,依照样本数据生成多个弱控制器,经过弱控制器输出控制值,根据输出值调整权值获取一系列弱控制器和弱控制器相应的权值,将多组弱控制器融合到一起建立强控制器,得到精准控制结果。为验证该系统的环境适应性及可靠性,对比本文系统的测量结果与实际结果,经过实验分析发现,该方法测量结果和实际结果之间高度重合,平均误差为0.93%,且具有较好的环境适应性和使用寿命,说明该种控制方法对循环型工业锅炉节能控制效果较好。In order to improve the control accuracy and service life of industrial boilers,a circulating industrial boiler control system based on FGR system is designed.Firstly,the boiler predictive control results are adjusted and transported.In the control process,a BP-Adaboost algorithm is adopted to generate a plurality of weak controllers according to sample data.The weak controllers output control values,and a series of corresponding weights of the weak controllers and the weak controllers are obtained according to the output value adjustment weights.A plurality of groups of weak controllers are fused together to establish a strong controller to obtain accurate control results.In order to verify the environmental adaptability and reliability of the system,the measurement results of the system in this paper are compared with the actual results.Through experimental analysis,it is found that the measurement results of the method are highly coincident with the actual results,with an average error of 0.93%,and have better environmental adaptability and service life.This shows that the control method has better energy-saving control effect on circulating industrial boilers.

关 键 词：FlueGas Recirculation系统 循环型 工业锅炉 神经网络 

分 类 号：TK229[动力工程及工程热物理—动力机械及工程]