Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/4797
Title: Fuzzy modeling and identification of intelligent control for refrigeration compressor
Authors: Singh, Jagdev
Singh, Nirmal
Sharma, J K
Keywords: Adaptive neuro-fuzzy inference system (ANFIS)
Clustering
Fuzzy control
Refrigeration compressor
Sugeno fuzzy inference system
Issue Date: Jan-2006
Publisher: CSIR
Series/Report no.: G06N7/02; F25B
Abstract: Fuzzy modeling and mathematical analysis for the intelligent control of compressor in order to regulate refrigerant mass flow in vapour compression refrigeration system has been described. The compressor speed and delivery pressure are taken as input parameters and mass flow rate is considered as output parameter. To develop an effective model for control design, fuzzy rule base is designed with and without sub clustering. Intelligent control is used to receive the input signal and generate the output signal to control the mass flow rate from the compressor. Swept volume, suction pressure and densities are considered as fixed parameters.
Description: 22-30
URI: http://hdl.handle.net/123456789/4797
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.65(01) [January 2006]

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