Research on Optimized Fuzzy Controller based on GA for Precise Aeration System

摘要：

It is known that the characteristic of Dissolved Oxygen (DO) control system is non-linear, variability and uncertainty, etc. This paper presents Genetic Algorithm (GA) to optimize the fuzzy controller, which adjusts the membership function of fuzzy controller parameters by GA. The results show that the optimized fuzzy controller based on GA is well up for the shortage of the traditional fuzzy controller. With this controller we can get target such as: obtaining better control result, improving the efficiency of sewage treatment, having significant effect for stable and secure running and reducing energy consumption.

关键词： Sewage treatment Dissolved oxygen Fuzzy control Genetic algorithm

作者: Wenyong Wang Ziqiang Sun Huanlai Cao

作者单位: Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, E Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, E

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3820-3824

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）