• Title/Summary/Keyword: real coding type Genetic Algorithms(GAs)

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Design of Optimized Multi-Fuzzy Controllers for Air-Conditioning System with Multi-Evaporators (다중 증발기를 갖는 에어컨시스템에 대한 최적화된 Multi-Fuzzy 제어기 설계)

  • Jung, Seung-Hyun;Choi, Jeoung-Nae;Oh, Sung-Kwun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.7-12
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    • 2007
  • In this paper, we introduce an approach to design multi-fuzzy controllers for the superheat and the low pressure that have an influence on energy efficiency and stabilization of aft conditioning system. Air conditioning system is composed of compressor, condenser several evaporators and several expansion valves. It is quite difficult to control the air conditioning system because the change of the refrigerant condition give an impact on the overall air conditioning system. In order to solve the drawback, we design multi-fuzzy controllers which control simultaneously both three expansion valve and one compressor for the superheat and the low pressure of air conditioning system. The proposed multi fuzzy controllers are given as two kinds of controller types such as a continuous simplified fuzzy inference type and a discrete fuzzy lookup_table type. Here the scaling factors of each fuzzy controller ate efficiently adjusted by veal coding type Genetic Algorithms. The values of performance index of the conventional type are compared with the simulation results of discrete lookup_table type and continuous simplified inference type.