A NEW ENGINEERING METHOD FOR FUZZY RELIABILITY ANALYSIS OF SURGE CONTROL IN CENTRIFUGAL COMPRESSOR | ||||
The International Conference on Applied Mechanics and Mechanical Engineering | ||||
Article 22, Volume 13, 13th International Conference on Applied Mechanics and Mechanical Engineering., May 2008, Page 106-116 PDF (813.33 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/amme.2008.39007 | ||||
View on SCiNiTO | ||||
Authors | ||||
HAFAIFA A.1; LAAOUAD F.2; BENNANI A.3 | ||||
1Dep. Instrumentation and Control Systems, University of DJELFA, Algeria. | ||||
2Dep. Industrial Process Automation. Faculty of Hydrocarbons, BOUMERDES University, Algeria. | ||||
3Orascom Telecom Algeria (OTA), Dar El Beïda office DEP. 2, Dep. Patrimoine, Algeria. | ||||
Abstract | ||||
ABSTRACT A new dual fuzzy controller for the nonlinear model of the compression system is proposed in this paper. The surge phenomenon in the centrifugal compressor, the nonlinearities and uncertainties of the compression system make it impossible to use a conventional controller over a wide range of operation. This fuzzy controller is designed to consist of a active surge control and phase control without any explicit system models, but driven in the human thinking mechanism. A simulation example of compression system is given to demonstrate the validity of the proposed control scheme. It is shown that the fuzzy controller can be simplified, and good tracking control performance can be achieved by choosing appropriate fuzzy roles. However, the dual fuzzy controller can successfully intervene in the control surge of the compression system. This new fuzzy control methodology suggested in this work reproduced well the main characteristics of the turbo compressor dynamic model developed by Moore and Gretzer and give place to a more precise and easy to handle representation. It is about a inaccuracies reproducing with a certain degree of satisfaction of the real process without being as much complex. | ||||
Keywords | ||||
Centrifugal Compressor; Anti Surge Control; Fuzzy Logic; Safety Systems; Fault Detection | ||||
Statistics Article View: 120 PDF Download: 114 |
||||