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机构地区:[1]重庆广播电视大学,重庆400052 [2]重庆汉锦科技公司,重庆400010
出 处:《重庆理工大学学报(自然科学)》2016年第7期86-92,共7页Journal of Chongqing University of Technology:Natural Science
基 金:重庆市教委科技项目(渝教科2013-4-02)
摘 要:为了克服由于受变量多、不确定性等因素影响导致的生活污水处理难于实现优化控制的问题,探讨了生活污水处理的生物建模与控制策略。讨论了污水生物处理工艺与反应机理,构建了生化反应动力学模型,研究了反应过程的控制论特性,提出了与控制论特性匹配的控制策略。经实验仿真验证基于溶解氧浓度DO控制的智能控制策略可自动跟踪污水处理溶解氧浓度的期望状态。研究结果表明:智能控制可以较好地实现城市生活污水处理的优化控制,该控制策略可行、有效。In order to overcome the sewage treatment being difficult to achieve optimal control caused by the influences such as being more in variables, uncertainties and other factors, the paper explored the biological modeling and control strategy of sanitary sewage treatment. It discussed the sewage biological treatment technics and the reaction mechanism, and constructed the dynamic model of biochemical reaction, and studied on cybernetics characteristics of the reaction process, and proposed the control strategy matching with the cybernetics characteristics of the reaction process. Experimental simulation has been verified that intelligent control strategy based on control of dissolved oxygen concentration can automatically tracked the desired state of the concentration of dissolved oxygen in sanitary sewage treatment. Research results show that the intelligent control can better achieve optimizing control of sanitary sewage treatment of city, and the proposed control strategy is feasible and effective.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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