Based on fuzzy neural network SBR sewage treatment distributed control system
SBR (Sequencing batch type activated sludges) sewage treatment is a mimic natural water purifying process, and the contaminant is removed by using active sludge microbial metabolism in the process, but this approach has the randomness, dynamicity and coupling. Based on this, the SBK sewage treatment DCS (distributed control system) is put forward, it is convenient to monitor wastewater treatment process. Because shortcomings of the traditional control methods exist such as precision and adaptive ability etc, the fuzzy neural network algorithm is adopted in the system, and the fuzzy logic rules can be optimized through the learning ability of neural network, the SBR reaction process of optimal control is realized. The results show that the system has excellent performance.
SBR sewage treatment DCS fuzzy-neural network
Li Zhiqiang Wang yanfang Zhou jie
College of Electrical Engineering Henan Univercity of Technology Zhengzhou. China
国际会议
太原
英文
169-171
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）