[1]XIAO Qianjun,XU Hu.Algorithm for human-simulated intelligent temperature control of incinerator combustion process of urban household garbage[J].CAAI transactions on intelligent systems,2015,10(6):881-885.[doi:10.11992/tis.201507039]
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Algorithm for human-simulated intelligent temperature control of incinerator combustion process of urban household garbage

CAAI transactions on intelligent systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 6 Page number: 881-885 Column: 学术论文—智能系统 Public date: 2015-12-25
Title:
Algorithm for human-simulated intelligent temperature control of incinerator combustion process of urban household garbage
Author(s):
XIAO Qianjun1;  XU Hu2
1. School of Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China;
2. College of Automation, Chongqing University, Chongqing 400044, China
Keywords:
garbage incineration; temperature control; combustion stability; uncertainty; pollutant discharge; secondary pollution; control strategy; human simulated intelligent control
CLC:
TP273
DOI:
10.11992/tis.201507039
Abstract:
To address the problem of the high pollutant content discharged from city garbage incineration, this paper explores a human-simulated intelligent algorithm for controlling the temperature of the incineration process. We determine the reasons for incomplete garbage combustion, flue gas emission pollution, and secondary pollution. We then discuss the conditions necessary for incineration stability, summarize the cybernetic characteristics of the incineration process, develop an intelligent control strategy for the incineration process, and construct a control algorithm based on human-simulated intelligence. Using a two-order lag model as an example, the simulation experiment demonstrates that it would have good anti-jamming ability and process control quality. The results of the simulation research show that the proposed control algorithm is feasible and effective for controlling the temperature of the incineration process.
References:
[1] 张建涛, 朱敏. 垃圾焚烧锅炉的自动控制系统[J]. 中国仪器仪表, 2006,(12):72-74. ZHANG Jiantao, ZHU Min. The automatic control system of waste incineration boiler[J]. China Instrumentation, 2006,(12):72-74.
[2] 邹包产, 韩秋喜, 王文凯, 等. 炉排炉垃圾焚烧控制策略[J]. 环境工程, 2013, 31(2):80-82, 86. ZOU Baochan, HAN Qiuxi, WANG Wenkai, et al. Control strategy of grate furnace waste combustion[J]. Environmental Engineering, 2013, 31(2):80-82, 86.
[3] 孙晓军, 肖正, 王志强. 生活垃圾焚烧厂自动燃烧控制系统的原理与应用[J]. 环境卫生工程, 2009, 17(4):20-23. SUN Xiaojun, XIAO Zheng, WANG Zhiqiang. Principles and application of automatic combustion control system in domestic waste incineration plants[J]. Environmental Sanitation Engineering, 2009, 17(4):20-23.
[4] 敖朝华, 邓薪莉, 郭兵. 垃圾焚烧炉燃烧过程的优化控制策略[J]. 环境工程, 2010, 28(1):77-80, 72. AO Chaohua, DENG Xinli, GUO Bing. Optimizing control strategy of combustion process for rubbish incinerator[J]. Environmental Engineering, 2010, 28(1):77-80, 72.
[5] 任德齐, 郭兵. 复杂系统中的仿人智能控制策略[J]. 西南师范大学学报:自然科学版, 2008, 33(2):132-135. REN Deqi, GUO Bing. Control strategy on human-simulated intelligence in complex system[J]. Journal of Southwest China Normal University:Natural Science Edition, 2008, 33(2):132-135.
[6] 刘克勤, 杨志, 查智. 仿人智能控制策略在不确定性复杂控制系统中的应用[J]. 西南师范大学学报:自然科学版, 2007, 32(3):156-161. LIU Keqin, YANG Zhi, ZHA Zhi. The application of control strategy on human simulated intelligence in uncertianty complex control system[J]. Journal of Southwest China Normal University:Natural Science Edition, 2007, 32(3):156-161.
[7] 裴玉玲, 杨志, 杨小义. 城市垃圾焚烧的智能融合控制策略[J]. 辽宁工程技术大学学报:自然科学版, 2010, 29(5):803-806. PEI Yuling, YANG Zhi, YANG Xiaoyi. An intelligent-fusion based control strategy of city garbage incineration[J]. Journal of Liaoning Technical University:Natural Science, 2010, 29(5):803-806.
[8] 李琪, 王亚男. 计算机控制技术在垃圾焚烧过程中的应用[J]. 重庆理工大学学报:自然科学, 2011, 25(2):80-85. LI Qi, WANG Yanan. Application research on computer control technique in rubbish incinerating process[J]. Journal of Chongqing University of Technology:Natural Science, 2011, 25(2):80-85.
[9] 吴文海, 汪节, 高丽, 等. 基于模糊自整定PID的着舰引导控制器设计[J]. 四川兵工学报, 2014, 35(7):71-74. WU Wenhai, WANG Jie, GAO Li, et al. Career landing guidance controller design based on fuzzy self-tuning PID[J]. Journal of Sichuan Ordnance, 2014, 35(7):71-74.
[10] 李士勇. 模糊控制·神经控制和智能控制论[M]. 哈尔滨:哈尔滨工业大学出版社, 2003:25-34.
[11] 敖朝华, 巫茜. 不确定性复杂硫化过程智能融合控制[J]. 辽宁工程技术大学学报:自然科学版, 2013, 32(8):1145-1148. AO Chaohua, WU Qian. Intelligence based control strategy for complex vulcanizing process with uncertainty[J]. Journal of Liaoning Technical University:Natural Science, 2013, 32(8):1145-1148.
[12] 李祖枢, 涂亚庆. 仿人智能控制[M]. 北京:国防工业出版社, 2003:70-74.
[13] 周国清. 复杂底层过程控制中基于仿人智能的融合策略[J]. 四川兵工学报, 2014, 35(8):101-104. ZHOU Guoqing. Fusion strategy of complex process control in bottom layer based on human simulated intelligence[J]. Journal of Sichuan Ordnance, 2014, 35(8):101-104.
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