锅炉炉膛含氧量神经元PID控制及其仿真  

Control of Oxygen Content in Boiler Furnace with Neuron PID and Its Simulat

作　　者：杨森[1] 杨长春[1] 王彭 薛国新[1] YANG Sen;YANG Chang-chun;WANG Peng;XUE Guo-xin(School of Microelectronics and Control Engineering,Changzhou University,Changzhou Jiangsu 213159,China)

机构地区：[1]常州大学微电子与控制工程学院,江苏常州213159

出　　处：《计算机仿真》2024年第5期112-115,共4页Computer Simulation

摘　　要：燃煤锅炉炉膛中过低的含氧量会使燃烧不充分,过高的含氧量又会使送风带走较多的热能。在一定的给煤速度之下,必须选择合适的送风量才能使炉膛燃烧维持在最佳状态。故必须给出送风量的调节控制方案。为此,首先对于锅炉炉膛的含氧量和送风之间的非线性关系进行数学建模,进而尝试PID补偿控制设计,用根轨迹法确定使闭环系统能稳定的增益.另外,还采用了一种人工神经网络控制方案,比较了两种方法的计算机仿真结果,验证了人工神经元PID控制的有效性。A low oxygen content in the furnace of a coal-fired boiler can lead to insufficient combustion,while a high oxygen content can cause the supply air to take away more heat energy.Under a certain coal feeding speed,it is necessary to choose an appropriate air supply volume in order to maintain optimal combustion in the furnace.Therefore,the regulation and control scheme of air supply volume must be provided.For this reason,the nonlinear relationship between the oxygen content in the boiler furnace and the air supply was first modeled mathematically,and then the PID compensation control design was attempted.The root locus method was used to determine the gain that makes the closed-loop system stable In addition,an artificial neural network control scheme was adopted,and the results of the two methods were compared to verify the effectiveness of the artificial neural PID control.

关 键 词：炉膛含氧量 控制 仿真 

分 类 号：TK223.7[动力工程及工程热物理—动力机械及工程] TK323[自动化与计算机技术—计算机应用技术] TP391.9[自动化与计算机技术—计算机科学与技术]