Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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A Study on the Coagulant Dosage Control in the Water Treatment Using Real Number Genetic-Fuzzy

실수형 유전-퍼지를 이용한 정수장 응집제주입제어에 관한 연구

  • 김용열 (한국수자원공사 수자원교육원) ;
  • 강이석 (충남대학교 기계설계공학과)
  • Received : 2004.01.16
  • Accepted : 2004.04.20
  • Published : 2004.06.15
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Abstract

The optimum dosage control is presumably the goal of every water treatment plant. However it is difficult to determine the dosage rate of coagulant, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the real number genetic-fuzzy system was used in determining the dosage rate of the coagulant. The genetic algorithms are excellently robust in complex optimization problems. Since it uses randomized operators and searches for the best chromosome without auxiliary informations from a population which consists of codings of parameter set. To apply this algorithms, we made the real number rule table and membership function from the actual operation data of the water treatment plant. We determined optimum dosages of coagulant(LAS) using the fuzzy operation and compared them with the dosage rate of the actual operation data.

Keywords

References

  1. 김용열, 강이석(1999) 유전-퍼지를 이용한 정수장 응집제 주입률 결정, 제어 . 자동화 .시스템공학회 논문지，5(7), pp.876-882
  2. 김홍석, 김성헌 (1993) Jar-Test를 利用한 凝集劑 注入率 決定에 관한 實驗硏究，대한상 하수도학회지, 2, pp. 39-46
  3. 남의석，박종진，장석호，차상엽，우광방，이봉국，한태환，고태범 (1997) 신경회로망을 이용 한 상수처리시스템의 응집제 주입 공정 최적화，제어 . 자동화 . 시스템공 학회 논문지. 3(6)， pp.644-651
  4. 山本信二, 鈴木瀿 (1992) Automatic Dosing Control of Coagulant and AIkaline ChemicaIs byThe Auto Jar Tester, 일본 공업용수. 407, pp.12-17
  5. 정우섭, 오석영 (1997) 지능형 응집제 투입 시스템의 개발，제어 . 자동화 . 시스템공학회 논 문지，3(6). pp. 652-658
  6. 황회수，오성권，우광방 (1992) 유전알고리즘과 퍼지 추론시스템의 합성，전기학회논문지，41(9). pp.1095-1103
  7. Daihee Park, Abraham Kandel, and Gideon Langholz (1994) Genetic-based new fuzzy reasoning models with application to fuzzy control, IEEE Trans. on System, Man, and Cybernetics. 24(1), pp. 39-47
  8. David E. Goldberg (1989) Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-wesley
  9. M. Mizumoto (1994) Fuzzy Controls under Product-Sum-Gravity Methods and new Fuzzy Control Methods, Fuzzy Control System, CRC Pres. Inc
  10. Mohammad M. Abu-orf and Steven K. Dental (1998) Automatic Control of Polymer Dose Using The Streaming Current Detector, Water Environment Researtch, 70, pp. 1005-1018
  11. Steven K. Dental and Kristine M. Kingery (1989) Using Streaming Detectors in Water Treatment, J. AWWA. 81(3), pp. 85-94
  12. Tomohiro Takagi, Michio Sugeno (1985) Fuzzy Identification of Systems and Its Applications to Modeling and Control, IEEE Trans on System, Man and Cybernetics, SMC-15(1), pp. 116-131
  13. V. S. Gupta, S. K. Bhattacharjya, B. K. Dutta (1975) ZetaPotential Control for Album Coagulation, American Water Work Association, pp. 21-22