Please use this identifier to cite or link to this item:
http://nopr.niscpr.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 |
| IPC Code: | 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. |
| Page(s): | 22-30 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.65(01) [January 2006] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 65(1) 22-30.pdf | 820.47 kB | Adobe PDF | View/Open |
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