The control and analysis of magnetic bearings has been primarily based upon classical linear control theory. This approach does not allow for some important system complexities and nonlinearities to be taken into account. The resulting simplifications degrade the overall system performance. This paper investigates the use of a neural network to control a magnetic bearing flywheel energy storage system. A plant simulation is developed as well as a neural network emulator and controller.
Neural Network Controller Design for a Magnetic Bearing Flywheel Energy Storage System
Sae Technical Papers
27th Intersociety Energy Conversion Engineering Conference (1992) ; 1992
1992-08-03
Conference paper
English
ANFIS CONTROLLER FOR ACTIVE MAGNETIC BEARINGS TO SUSPEND A FLYWHEEL ENERGY STORAGE SYSTEM
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