Roubust Design Using Fuzzy Logic Optimozation

퍼지 논리의 최적화에 의한 강인 시스템의 설계

  • Kwon, Yang-Won (School of Electrical & Electronics Eng., Wonkwang University) ;
  • Lee, Jong-Suk (School of Electrical & Electronics Eng., Wonkwang University) ;
  • Ryu, Sang-Mun (School of Electrical & Electronics Eng., Wonkwang University) ;
  • Ahn, Tae-Chon (School of Electrical & Electronics Eng., Wonkwang University)
  • 권양원 (원광대학교 전기.전자공학부) ;
  • 이종석 (원광대학교 전기.전자공학부) ;
  • 류상문 (원광대학교 전기.전자공학부) ;
  • 안태천 (원광대학교 전기.전자공학부)
  • Published : 2000.07.17

Abstract

To design high quality products at low cost is one of very important tasks for engineers. Design optimization for performances can be one solution in this task. There is the robust design which has been proved effectively in many fields of engineering design. In this paper, the concept of robust design is introduced and combined to the fuzzy optimization method and the fuzzy logic system method with non-singleton. These methods are applied for data analysis to get optimum parameters and to reduce experiments. The optimum parameter set points are obtained by the proposed methods. These methods are applied to a filter circuit, a part of the audio circuit of mobile radio transceiver. The simulation results are compared each other. The new methods reduce and predict the effect of parameter variation sources

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