Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Automatic Control of Coagulant Dosing Rate Using Self-Organizing Fuzzy Neural Network

자기조직형 Fuzzy Neural Network에 의한 응집제 투입률 자동제어

  • 오석영 (한국수자원공사 IT사업처) ;
  • 변두균 (한국수자원공사 IT사업처)
  • Published : 2004.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this report, a self-organizing fuzzy neural network is proposed to control chemical feeding, which is one of the most important problems in water treatment process. In the case of the learning according to raw water quality, the self-organizing fuzzy network, which can be driven by plant operator, is very effective, Simulation results of the proposed method using the data of water treatment plant show good performance. This algorithm is included to chemical feeder, which is composed of PLC, magnetic flow-meter and control valve, so the intelligent control of chemical feeding is realized.

Keywords

References

  1. 김흥석, 김수헌, 'Jar-Test를 이용한 응집제 주입를 결정에 관한 실험적 연구', 대한상하수도학회, 제2호, pp. 39-46, 6. 1993
  2. 오석영, '정수장의 응집제 투입률 자동연산을 위한 신경회로망의 적용' 한국수도협회지, 제22권, 제6호 12. 1996
  3. 정우섭, 오석영, 'Fuzzy neural network에 의한 응집제 투입률의 자동결정', 한국정밀공학회 논문집, 제14권, 제1호, 1. 1997
  4. 하대원, 고택범, 황희수, 우광방, '상수처리 수질제어를 위한 약품주입 자동연산', 한국자동제어 학술회의 논문집, pp. 772-777, 1993
  5. S.-Y. OH, J-H. Kim, 'A study on application of neural network to the automatic calculation of chemicals dosing for water treatment process', 10th IWSA-ASPAC Resional Conference, 11. 1996
  6. M. Estaben, P. Labat, 'Control of an anaerobic digestor from the on-line sensors:A fuzzy hier- archical solution', 7th IAWQ Specialist Group on Instrumentation, Control and Automation, 7. 1997