带遗忘因子的递推最小二乘法在SCR喷氨量模型辨识中的应用

Application of recursive least square method with forgetting factor in identification of ammonia flow model in SCR denitration reactor

针对火电厂选择性催化还原(SCR)烟气脱硝系统中喷氨量-出口NO质量浓度的现场数据,采用带遗忘因子的递推最小二乘法应用于辨识出SCR喷氨量-出口NO质量浓度的数学模型。该算法简单可靠、易于实现,具有很高的准确性,辨识所得模型能较好地表征实际系统的动态和静态特性,具有一定的实用价值。

This paper introduces a modeling method with recursive least square method with forgetting factor for SCR of ammonia flue gas denitration system -- export NO concentration based on the field data.The results show that the algorithm is simple, reliable and easy to implement, and has high accuracy. The identification model can better show the dynamic and static characteristics of the actual system, and has certain practical value.