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Design of Optimized Multi-Fuzzy Controllers by Hierarchical Fair Competition-based Genetic Algorithms for Air-Conditioning System
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 Title & Authors
Design of Optimized Multi-Fuzzy Controllers by Hierarchical Fair Competition-based Genetic Algorithms for Air-Conditioning System
Jung, Seung-Hyun; Choi, Jeoung-Nae; Kim, Hyun-Ki; Oh, Sung-Kwun;
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In this paper, we propose an approach to design multi-fuzzy controllers for the superheat and the low pressure that have an influence on energy efficiency and stabilization of air conditioning system with multi-evaporators. Air conditioning system with multi-evaporators 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 a kinds of controller types such as a simplified fuzzy inference type. Here the scaling factors of each fuzzy controller are efficiently adjusted by Hierarchical Fair Competition-based Genetic Algorithms. The values of performance index of the simulation results of the A company type compare with simulation results of simplified inference type.
HVAC(Heating, Ventilating, and Air Conditioning);air conditioning system;HFCGAs(Hierarchical Fair Competition based Genetic Algorithms);fuzzy inference type;multi-fuzzy controllers;
 Cited by
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