Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Fuzzy Modeling of Activated Sludge Process Using Linear Reasoning Method

하수처리 프로세스의 선형 추론 퍼지 모델링

  • Oh, Sung-Kwun (Dept. of Electrical Engineering Yonsei University) ;
  • Park, Jong-Jin (Dept. of Electrical Engineering Yonsei University) ;
  • Lee, Seong-Ju (Dept. of Electrical Engineering Yonsei University) ;
  • Hwang, Hee-Soo (Dept. of Electrical Engineering Yonsei University) ;
  • Kim, Hyun-Ki (Dept. of Electrical Engineering Yonsei University) ;
  • Woo, Kwang-Bang (Dept. of Electrical Engineering Yonsei University)
  • 오성권 (연세대학교 전기공학과) ;
  • 박종진 (연세대학교 전기공학과) ;
  • 이성주 (연세대학교 전기공학과) ;
  • 황희수 (연세대학교 전기공학과) ;
  • 김현기 (연세대학교 전기공학과) ;
  • 우광방 (연세대학교 전기공학과)
  • Published : 1990.11.17
Download PDF
⟨ Previous Next ⟩

Abstract

The conventional quantitative techniques of system analysis are intrinsically unsuited for dealing with humanistic systems. Therefore, the rule based modeling of fuzzy linguistic type has been developed for the analysis of humanistic systems and complex systems and it is very significant for analysis and design of fuzzy logic controller. The activated sludge process is a commonly used method for treating sewage and waste waters. A mathematical tool to build a fuzzy model of the activated sludge process where fuzzy implications and linear reasoning are used is presented in here. A root-mean square error is used as the criterion of the fuzzy model's adequacy to the A.S.P. and the least square method is used for the identification of optimum consequence parameters. A method of modeling of the activated sludge process using its input-output data and simulation results for its application are shown.

Keywords