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A Study on Coagulant Feeding Control of the Water Treatment Plant Using Intelligent Algorithms

지능알고리즘에 의한 정수장 약품주입제어에 관한 연구

  • 김용열 (충남대학교 기계설계공학과) ;
  • 강이석 (한국수자원공사 광주권관리단)
  • Published : 2003.01.01

Abstract

It is difficult to determine the feeding rate of coagulant in the water treatment plant, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the genetic-fuzzy system genetic-equation system and the neural network system were used in determining the feeding rate of the coagulant. Fuzzy system and neural network system are excellently robust in multivariables and nonlinear problems. but fuzzy system is difficult to construct the fuzzy parameter such as the rule table and the membership function. Therefore we made the genetic-fuzzy system by the fusion of genetic algorithms and fuzzy system, and also made the feeding rate equation by genetic algorithms. To train fuzzy system, equation parameter and neural network system, the actual operation data of the water treatment plant was used. We determined optimized feeding rates of coagulant by the fuzzy system, the equation and the neural network and also compared them with the feeding rates of the actual operation data.

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