Study on Soft Sensor Modeling and Optimization Control of Biological Fluidized Bed Swage Disposal

摘要：

To solve the problem that outlet water index Biochemistry Oxygen Demand (BOD)of the Biological Fluidized Bed(BFB)sewage treatment process is difficult to online measure and optimization control of sewage treatment process, Water quality index neural network soft measurement method and the fuzzy control strategy was put forward in this paper. Considering the sewage treatment process exists nonlinear and time-varying characteristic, the effluent water BOD soft sensor model was established employing the process neural network. On the base of this, the optimization control was realized adopting Dissolved Oxygen (DO) for fuzzy control variable Through the soft measurement and fuzzy control models simulation training, Shows that the effectiveness and feasibility of these models, an effective soft measurement and optimization control way for BFB sewage treatment have been provided.

关键词： Biological fluidized bed Process neural network Soft measurement Fuzzy control

作者: Wang xiao-yi Liu meng Liu zaiwen Su zhen Lian xiaofeng An xiaodong

作者单位: Beijing Technology and Business University, College of Computer and Information Engineering,Beijing Beijing Technology and Business University,College of Computer and Information Engineering,Beijing 1 Taiyuan YiTaiHao Technology LTD,Taiyuan 030006

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1059-1064

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）