Model reference based supervisory fuzzy logic controller of process control

Abdel-Geliel, Mostafa ; El-Khazendar, Mohamed A.

Document Type: Conference or workshop publication
Year of publication: 2003
Book title: Modelling, Identification and Control : The 22nd IASTED International Conference on Modelling, Identification, and Control : February 10 - 13, 2003, Innsbruck, Austria
The title of a journal, publication series: Proceedings of the 22nd IASTED International Conference Modelling, Identification and Control (MIC 2003) : February 10 - 13, 2003, Innsbruck, Austria
Page range: 262-267
Publisher: Hamza, Mohamed H.
Place of publication: Anaheim [u.a.]
Publishing house: Acta Press
ISBN: 0-88986-343-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Automation (Badreddin 1999-2008)
Subject: 004 Computer science, internet
Abstract: In this paper, the designed schemes for a two Mamdani fuzzy controllers, employing the scaling factor tuning are proposed. The first fuzzy logic controller, is a normalized controller used to control the system, the tuning for its input and output-scaling factors is done through the second fuzzy controller (the supervisory controller) used to appropriately determine the control signal of the fuzzy controllers. The supervisory fuzzy controller tunes the normalized fuzzy controller based on the model reference adaptive control technique. The great advantage of the proposed method is that, a supervisor as a fuzzy controller to tune the scaling factor of a normalized fuzzy controller can be used to supervise any standard controller (with fixed parameters). This may be applied to control any process in the distributed control systems (DCS). The normalized fuzzy controller and the supervisory fuzzy controller are organized with specific experience information about the controlled systems. Finally, the proposed fuzzy controllers are applied practically to control a nonlinear thermal process; a comparison with scaling factor manual tuning, supervisor with step reference input and supervisor with desired model reference input is done to verify the effectiveness of the proposed design. The results shows that the last case the system is forced to follow the desired response.
Additional information: CD-ROM

Dieser Eintrag ist Teil der Universitätsbibliographie.

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