NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.65 [2006] >
JSIR Vol.65(01) [January 2006] >

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)
Fuzzy control
Refrigeration compressor
Sugeno fuzzy inference system
Issue Date: Jan-2006
Publisher: CSIR
IPC CodeG06N7/02; 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.
Page(s): 22-30
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.65(01) [January 2006]

Files in This Item:

File Description SizeFormat
JSIR 65(1) 22-30.pdf820.47 kBAdobe PDFView/Open
 Current Page Visits: 150 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 171101 since 01-Sep-2015  Last updated on 30-Jun-2016Webmaster: