대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2000년도 하계학술대회 논문집 D
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- Pages.2479-2481
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- 2000
유전 알고리즘을 이용한 폭기조내 용존산소농도 제어
Control of the Dissolved Oxygen Concentration in the Aeration Using Genetic Algorithms
- Kim, Chang-Hyun (Department of Electrical Engineering at Dong-A University) ;
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Hur, Dong-Ryol
(Department of Electrical Engineering at Dong-A University) ;
- Kim, Sang-Hyo (Department of Electrical Engineering at Dong-A University) ;
- Chung, Hyeng-Hwan (Department of Electrical Engineering at Dong-A University)
- 발행 : 2000.07.17
초록
It is the time-varying dissolved oxygen(DO) dynamics that requires controlling for maintaining the DO concentration in the aeration tank. Many linear controllers have thus been applied. Because of the nonlinearity of the oxygen transfer function together with the time-varying respiration rate, however, the linear controllers are found to poorly perform in many cases. To overcome this limitation, a number of advanced controlling techniques have been developed and applied. In this study, designed GA-PI Controller using genetic algorithm(GA). Genetic algorithms(GAs) are search algorithms based on the mechanics of natural selection and natural genetics. As result of computer simulation, GA-PI controller shows the better control performance especially under the condition of the continuously changing DO set-point. This result represents that GA-PI controller can be a good measure to control the DO concentration in the SBR process which requires the sequential DO set-point change to accomplish the nitrification and denitrification in a single reactor.
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