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作者:

Wang, Tianzheng (Wang, Tianzheng.) | Tang, Jian (Tang, Jian.) (学者:汤健) | Xia, Heng (Xia, Heng.) | Aljerf, Loai (Aljerf, Loai.) | Zhang, Runyu (Zhang, Runyu.) | Tian, Hao (Tian, Hao.) | Akele, Mulugeta Legesse (Akele, Mulugeta Legesse.)

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EI Scopus SCIE

摘要:

Furnace temperature (FT) is a key variable in municipal solid waste incineration (MSWI) processes, influenced by many manipulated variables and directly impacting pollutant concentrations in exhaust gas. Domain experts cannot achieve the optimal FT setpoint value under manual control, leading to abnormal pollutant emission concentrations. To address this, we propose an intelligent optimal control framework for FT aiming to minimize pollutant emission concentration. First, the FT controlled object model is established using the Tikhonov regularization-least regression decision tree (TR-LRDT) algorithm. Then, based on the experience of domain experts, a multi-loop controller is developed using an improved single neuron adaptive PID (ISNA-PID) algorithm to stabilize FT. Next, after establishing NOx and CO2 indicator models, the particle swarm optimization (PSO) algorithm is employed to determine the FT setpoint value in terms of minimum pollutant emission concentration. Finally, the FT intelligent optimal control framework is verified. Experimental results indicate that the optimal FT setpoint value can reduce NOx and CO2 emission concentrations by 19.93 % and 6.99 %, respectively.

关键词:

sion tree (TR-LRDT) Intelligent optimal control Single neuron adaptive PID (SNA-PID) Municipal solid waste incineration (MSWI) Pollution emission reduction Particle swarm optimization (PSO) controller Tikhonov regularization-least regression deci- Furnace temperature (FT)

作者机构:

  • [ 1 ] [Wang, Tianzheng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Tang, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Xia, Heng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Runyu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Tian, Hao]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Tianzheng]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 7 ] [Tang, Jian]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 8 ] [Xia, Heng]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 9 ] [Zhang, Runyu]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 10 ] [Tian, Hao]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 11 ] [Aljerf, Loai]Univ Findlay, Dept Phys Sci, Coll Sci, 1000 N Main St, Findlay, OH 45840 USA
  • [ 12 ] [Aljerf, Loai]Al Sham Private Univ, Fac Pharm, Damascus 5910011, Syria
  • [ 13 ] [Akele, Mulugeta Legesse]Univ Melbourne, Fac Sci, Sch Chem, Melbourne, Vic 3010, Australia

通讯作者信息:

  • [Tang, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Aljerf, Loai]Univ Findlay, Dept Phys Sci, Coll Sci, 1000 N Main St, Findlay, OH 45840 USA;;

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来源 :

EXPERT SYSTEMS WITH APPLICATIONS

ISSN: 0957-4174

年份: 2024

卷: 257

8 . 5 0 0

JCR@2022

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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