Application of Fuzzy Smith Control in SCR De-NOx System

S. Zhang, B. Xu, J. Gu, F. Meng, H. Bing, H. Wan
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Abstract

Based on the selective catalytic reduction (SCR) reaction method, the fuzzy Smith control method is used to study the outlet nitrogen oxides concentration control of SCR de-NOx system. The prediction model of ammonia nitrogen mass ratio and the prediction model of inlet nitrogen oxides concentration are established by using linear regression prediction theory, which makes the theoretical ammonia injection quantity more accurate and more real-time. Fuzzy control and Smith prediction can, to a large extent, achieve precise control to the entire ammonia flow system, which improves the quality of ammonia flow control and effectively reduces the emission of nitrogen oxides. And the delay for the measurement of ammonia is solved by taking Smith predictive control. The simulation result shows that the fuzzy Smith control, compared with the traditional PID control scheme, can effectively solve the problems of large lag, nonlinearity and multiple delays, which cannot be solved by the traditional control scheme.
模糊Smith控制在SCR脱硝系统中的应用
在选择性催化还原(SCR)反应方法的基础上,采用模糊Smith控制方法研究了SCR脱硝系统出口氮氧化物浓度的控制。利用线性回归预测理论建立了氨氮质量比预测模型和进口氮氧化物浓度预测模型,使理论注氨量更加准确、实时性更好。模糊控制和Smith预测在很大程度上可以实现对整个氨流系统的精确控制,提高氨流控制质量,有效降低氮氧化物的排放。采用Smith预测控制解决了氨测量的延迟问题。仿真结果表明,与传统的PID控制方案相比,模糊史密斯控制能够有效地解决传统控制方案无法解决的大滞后、非线性和多延迟问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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