首页> 外文会议>International Conference on Modelling, Identification and Control >Application of Fuzzy Smith Control in SCR De-NOx System
【24h】

Application of Fuzzy Smith Control in SCR De-NOx System

机译:模糊史密斯控制在SCR脱硝系统中的应用

获取原文

摘要

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.
机译:基于选择性催化还原(SCR)反应方法,采用模糊史密斯控制方法研究了SCR脱硝系统的出口氮氧化物浓度控制。利用线性回归预测理论建立了氨氮质量比的预测模型和进口氮氧化物浓度的预测模型,使理论氨注入量更加准确,实时。模糊控制和史密斯预测可以在很大程度上实现对整个氨流系统的精确控制,从而提高了氨流控制的质量并有效地减少了氮氧化物的排放。通过史密斯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,模糊史密斯控制可以有效地解决传统控制方案无法解决的滞后,非线性和多重时延等问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号