Title :
Research on optimized fuzzy controller based on GA for precise aeration system
Author :
Wang, Wenyong ; Sun, Ziqiang ; Cao, Huanlai
Author_Institution :
Key Lab. of Adv. Control & Optimization for Chem. Processes, East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
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.
Keywords :
chemical variables control; energy consumption; fuzzy control; genetic algorithms; nonlinear control systems; sewage treatment; uncertain systems; DO control system; GA; control system uncertainty; control system variability; dissolved oxygen control system; energy consumption reduction; fuzzy controller optimization; fuzzy controller parameters; genetic algorithm; membership function adjustment; nonlinear control system; precise aeration system; sewage treatment; Control systems; Fuzzy control; Genetic algorithms; Pragmatics; Process control; Sewage treatment; Software; Dissolved oxygen; Fuzzy control; Genetic algorithm; Sewage treatment;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6243097
