Abstract
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing nonlinear controllers via the use of heuristic information. This approach provides a formal methodology for representing, manipulating, and implementing a human’s heuristic knowledge about how to modeled and to control a system. This paper focuses on the application of fuzzy control approach to the surge phenomena in centrifugal compression system. Fuzzy controller is designed to consist of an active surge control and phase control without any explicit system models, but driven in the human thinking mechanism. This 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. Application and simulation results are performed to demonstrate the effectiveness of this controller. Studies show that, the proposed controller provides good tracking control performance for the compression system at different operating conditions and moreover improves the dynamic performances of the system.
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Recommended by Editorial Board member Sung-Kwun Oh under the direction of Editor Young- Hoon Joo. This work was supported by the Industrial Automation and Diagnosis Systems Laboratory of the Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria.
Ahmed Hafaifa was born in Algeria in 1974 and received the Graduate Engineer from the National Institute of Hydrocarbons and Chemistry INH, Department of Automatic Control, of BOUMERDES, Algeria, in 1999. After a short time spent in the industry, He joined the Department of Automatic Control, where he worked on the control of Compression Systems and received the Master degree in Automatic Control. He received his Ph.D. degree in Applied Automation from the faculty of hydrocarbons and chemistry FHC, University of BOUMERDES, Algeria, in 2010 doing research on Robust Control and fuzzy control of compression systems in collaboration with Department of Electrical Control of DJELFA, Algeria, and associate professor from July 2003 to present. He is the author and co-author of many scientific papers and research projects. His research interests, begun with the control applications, control of compression systems, include now nonlinear control of complex systems and adaptive fuzzy control.
Ferhat Laaouad was born in Algeria in 1953. He received the Graduate Engineer in Process Control, from the National institute of hydrocarbons and chemistry INH in 1979. He received a Ph.D. degree in Automatic Control Engineering from the faculty of Automation and Computer Sciences, University of oil and gas, Moscow in 1985. Since 1988, he is a researcher and President of scientific comity of the department of Automatic control at the BOUMERDES University, Algeria. He has broad interests in automatic control including, adaptive control, identification of complex systems, intelligent control based on fuzzy logic and neural networks. He has supervised several Master students and written many papers in archival journals.
Kouider Laroussi was born in Algeria in 1963. He received a Graduate Engineer in Electrical Network Engineering from the University of TIARET, Algeria in 1991, and his Master degree in Electrical Process Control from the National Institute of Hydrocarbons and Chemistry INH, University of BOUMERDES, Algeria, in 2000. From May 2000 to present, he was an associate professor with Department of Electrical Control of DJELFA, Algeria. He was the author and co-author of many scientific papers and research projects. His research interest includes fuzzy control, fuzzy optimisation, neural networks, diagnostic and control of the induction motor and compression systems.
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Hafaifa, A., Laaouad, F. & Laroussi, K. A Numerical structural approach to surge detection and isolation in compression systems using fuzzy logic controller. Int. J. Control Autom. Syst. 9, 69–79 (2011). https://doi.org/10.1007/s12555-011-0109-3
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DOI: https://doi.org/10.1007/s12555-011-0109-3