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Research on optimized fuzzy controller based on GA for precise aeration system  ( EI收录)  

文献类型:期刊文献

英文题名:Research on optimized fuzzy controller based on GA for precise aeration system

作者:Wang, Wenyong[1]; Sun, Ziqiang[1]; Cao, Huanlai[1]

机构:[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份:2012

起止页码:3803

外文期刊名:Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

收录:EI(收录号:20124015483374)

语种:英文

外文关键词:Genetic algorithms - Energy efficiency - Membership functions - Controllers - Energy utilization - Dissolved oxygen

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. ? 2012 IEEE.

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