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透光率脉动混凝投药模糊控制系统的试验研究
引用本文:白桦,李圭白.透光率脉动混凝投药模糊控制系统的试验研究[J].哈尔滨工业大学学报,2003,35(7):792-794.
作者姓名:白桦  李圭白
作者单位:1. 哈尔滨工业大学,机电工程学院,黑龙江,哈尔滨,150001;同济大学,环境工程学院,上海,200092
2. 哈尔滨工业大学,市政环境工程学院,黑龙江,哈尔滨,150090
基金项目:国家九五重点攻关资助项目(96-909-03-04-02),哈尔滨工业大学科学研究基金(HIT.2002.24)
摘    要:在变化的水质条件下,透光率脉动混凝投药控制系统设定值的在线自修正问题,一直影响这一技术在常规浊度水中的应用.利用Takagi-Sugeno模糊推理形式,设计了透光率脉动混凝投药系统设定值在线自修正模糊逻辑推理系统,完成了基于SIEMENS小型可编程控制器的透光率脉动混凝投药模糊控制系统的编程,利用某处理量为400L/min的中试试验模型验证了该系统的性能.中试试验结果表明,根据水质参数变化,该系统能够及时调整系统设定值,调节投药量,并且在整个调节过程中沉淀出水稳定、合格.

关 键 词:透光率脉动  混凝  投药控制系统  在线自修正问题  Takagi-Sugeno模糊推理  可编程控制器  水处理
文章编号:0367-6234(2003)07-0792-03
修稿时间:2001年10月25

Fuzzy control system for auto-coagulation control system based on fluctuation of transmitted light
BAI Hua,LI Gui-bai.Fuzzy control system for auto-coagulation control system based on fluctuation of transmitted light[J].Journal of Harbin Institute of Technology,2003,35(7):792-794.
Authors:BAI Hua  LI Gui-bai
Abstract:The on - line modification of coagulation control system set points, based on fluctuation of transmitted light, has its influence on the application of this technology in water treatment plants for a long time. A fuzzy control system incorporating the photometric dispersion analyzer was utilized in this coagulation control system. Proposed is a fuzzy logic inference control system by using Takagi and Sugeno' s fuzzy if- then rule for the self - correction of set points on line. Programmed is the dosing rate fuzzy control system in SIEMENS small - scale programmable logic controller. A 400 L/min middle - scale water treatment experiment was utilized to simulate the reaction. With the changes in raw water quality, the set point as well as coagalant dosing rate was modified correctly in time, and the residual turbility before filtration was eligible and stable. Results show that this fuzzy control system performs well on the auto - coagulation control system based on the technology of transmitted light.
Keywords:coagulation  photometric dispersion analyzer  dosing rate  fuzzy control  fuzzy logical inference  optimum  water treatment
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