城市生活垃圾焚烧的智能控制策略
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摘要
垃圾焚烧是城市生活垃圾无害化、减量化和资源化处理的理想手段。针对控制策略不当导致的严重污染与能源浪费,探讨了智能控制策略在垃圾焚烧控制中的应用。剖析了垃圾燃烧控制的难点,讨论了垃圾焚烧炉燃烧过程的控制论特性,研究了与控制论特性匹配的控制策略,构造了基于仿人智能的基本控制算法。实验仿真验证了该算法的强抗扰动能力,在过程参数大幅度变化时仍表现出极强的鲁棒性。仿真研究结果表明:采用仿人智能控制算法对垃圾焚烧杜绝污染与能源浪费是合理可行的。
Incineration is an ideal means in municipal solid waste disposal of harmless,decrement and resources. Aimed at serious pollution and energy waste caused by improper control strategies,the paper explored application of intelligent control strategy in municipal solid waste incineration control.In the paper,it made anatomy of difficulties in municipal solid waste incineration control,discussed cybernetic characteristics of combustion process in garbage disposal incinerator, researched on precondition of eliminating pollution and control strategy that matches the cybernetic characteristics,and constructed the basic control algorithm of human simulated intelligence. It demonstrated this algorithm's strong resistance ability to disturbance by means of experiment simulation,and still showed strong robustness when the process parameters varying greatly. The simulation results show that it is reasonable and feasible to eliminate pollution and energy waste by adopting human simulated intelligent control algorithm.
Incineration is an ideal means in municipal solid waste disposal of harmless,decrement and resources. Aimed at serious pollution and energy waste caused by improper control strategies,the paper explored application of intelligent control strategy in municipal solid waste incineration control.In the paper,it made anatomy of difficulties in municipal solid waste incineration control,discussed cybernetic characteristics of combustion process in garbage disposal incinerator, researched on precondition of eliminating pollution and control strategy that matches the cybernetic characteristics,and constructed the basic control algorithm of human simulated intelligence. It demonstrated this algorithm's strong resistance ability to disturbance by means of experiment simulation,and still showed strong robustness when the process parameters varying greatly. The simulation results show that it is reasonable and feasible to eliminate pollution and energy waste by adopting human simulated intelligent control algorithm.
引文
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[13]王茂清,钟银海,蓝巧娟,等.阳离子聚丙烯酰胺联合稻壳粉调理城市污染脱水的研究[J].三峡生态环境监测,2018,3(1):27-31.
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[18]王志强,高攀峰,潘海东.顺推阶梯炉排垃圾焚烧控制探讨[J].绿色科技,2013(12):276-279.
[2]刘晓,王学斌,周菊华.简析垃圾焚烧发电厂烟气污染控制及防治对策[J].能源技术与管理,2011(1):130-133.
[3]钱栋.城市生活垃圾焚烧处理及其污染控制研究[J].安徽农业科学,2015,43(9):261-263.
[4]徐正坦,吴松发.垃圾焚烧发电厂烟气污染控制[J].福建工程学院学报,2010,8(3):255-257.
[5]刘晓,王学斌.垃圾焚烧电厂烟气污染及控制[J].武汉电力职业技术学院学报,2010,8(2):58-61.
[6]彭莉,林鹰,杨奕.复杂系统控制中的相关技术讨论[J].西南师范大学学报,2004,29(6):1066-1068.
[7]杨飚,张曾科.仿人智能控制器的动态特性参数整定方法[J].信息与控制,2004,33(6):670-673.
[8] CAI Z X,ZHOU X,LI M Y. A novel intelligent control method-evolutionary control[C]//World Congress on Intelligent Control&Automation.[S. l.]:IEEE,2002:387-390.
[9]王静,肖超.复杂过程的多模态仿人智能控制策略[J].微电子学,2013,43(2):221-224.
[10] QIU Z P,ZHANG Y X. Parametric optimization design of aircraft based on hybrid parallel mult-objective tabu search algorithm[J]. Chinese Journal of Aeronautics,2010,23(4):430-437.
[11]李祖枢,涂亚庆.仿人智能控制[M].北京:国防工业出版社,2003.
[12]刘玉成,刘玉斌.城市固体垃圾焚烧的二次污染控制实现技术[J].环境科学与技术,2006,29(5):97-99.
[13]王茂清,钟银海,蓝巧娟,等.阳离子聚丙烯酰胺联合稻壳粉调理城市污染脱水的研究[J].三峡生态环境监测,2018,3(1):27-31.
[14]蔡芹.垃圾焚烧过程中二恶英污染控制技术[J].环境技术,2003(1):40-41.
[15]徐奇焕.垃圾焚烧发电及二次污染控制[J].电力技术经济,2002(5):41-42.
[16]黄世栋.垃圾焚烧处理及二次污染的控制[J].环境污染控制,2006(6):48-49.
[17]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.
[18]王志强,高攀峰,潘海东.顺推阶梯炉排垃圾焚烧控制探讨[J].绿色科技,2013(12):276-279.