Title :
Fuzzy Logic Intelligent Control System of Magnetic Bearings
Author :
Lei, Shuliang ; Palazzolo, Alan ; Kascak, Albert
Author_Institution :
Texas A&M Univ., Cleveland
Abstract :
This paper presents a fuzzy logic based intelligent control system applied to magnetic bearings. The core in the expert system is fuzzy logic controllers with Mamdani architecture. The fuzzy logic controllers for rub detection and automatic gain scheduling were implemented. The expert system not only provides a means to capture the run time data of the magnetic bearings, to process and monitor the parameters, and to diagnose malfunctions, but also protects the magnetic bearings from rub anomaly and implements the control on a real time basis.
Keywords :
fuzzy control; fuzzy logic; intelligent control; machine control; magnetic bearings; nonlinear control systems; scheduling; Mamdani architecture; automatic gain scheduling; expert system; fuzzy logic intelligent control system; magnetic bearings; Automatic control; Condition monitoring; Control systems; Diagnostic expert systems; Fuzzy logic; Intelligent control; Magnetic cores; Magnetic levitation; Protection; Real time systems;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295429