Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network<sup>*</sup>

阎兴頔; 杨文; 马贺贺; 侍洪波

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Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network^*

Updated：2026-01-06

- Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network^*
- Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network^*
- 中国化学工程学报（英文版） 2012年20卷第6期页码：1184-1190
- Affiliations：
  
  Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (61074079);Shanghai Leading Academic Discipline Project(B504);Specialized Research Fund for the Doctoral Program of Higher Education of China (20100074120010);the Natural Science Foundation of Shanghai City (11ZR1409700)
- DOI：
  中图分类号：
- 纸质出版：2012
- Accepted：
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阎兴頔, 杨文, 马贺贺, 等. Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network^*[J]. 中国化学工程学报（英文版）, 2012,20(6):1184-1190.

[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1184-1190.
阎兴頔, 杨文, 马贺贺, 等. Soft Sensor for Ammonia Concentration at the Ammonia Converter Outlet Based on an Improved Group Search Optimization and BP Neural Network^*[J]. 中国化学工程学报（英文版）, 2012,20(6):1184-1190. DOI：

[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1184-1190. DOI：

摘要

Abstract

The ammonia synthesis reactor is the core unit in the whole ammonia synthesis production.The ammonia concentration at the ammonia converter outlet is a significant process variable

which reflects directly the production efficiency.However

it is hard to be measured reliably online in real applications.In this paper

a soft sensor based on BP neural network (BPNN) is applied to estimate the ammonia concentration.A modified group search optimization with nearest neighborhood (GSO-NH) is proposed to optimize the weights and thresholds of BPNN.GSO-NH is integrated with BPNN to build a soft sensor model.Finally

the soft sensor model based on BPNN and GSO-NH (GSO-NH-NN) is used to infer the outlet ammonia concentration in a real-world application.Three other modeling methods are applied for comparison with GSO-NH-NN.The results show that the soft sensor based on GSO-NH-NN has a good prediction performance with high accuracy.Moreover

the GSO-NH-NN also provides good generalization ability to other modeling problems in ammonia synthesis production.

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