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Vibration Control, Electromechanics and Flow Lab VCEF

Texas A&M University College of Engineering

Non-Linear Fuzzy Logic Control for Forced Large Motions of Spinning Shafts

Shuliang Lei, Alan Palazzolo, Uhnjoo Na, and Albert Kascak

August 2000

A unique control approach is developed for prescribed large motion control using magnetic bearings in a proposed active stall control test rig. A finite element based, flexible shaft is modeled in a closed loop system with PD controllers that generate the control signals to support and to shake the rotor shaft. A linearized force model of the stall rig with 16 magnetic poles (4 opposing C-cores) yields stability and frequency responses. The non-linear model retains the non-linearities in Ampere’s law, Faraday’s law and the Maxwell stress tensor. A fuzzy logic control system is then designed to show the advantages over the conventional controllers with the fully non-linear model.

 

NON-LINEAR FUZZY LOGIC CONTROL FOR FORCED LARGE MOTIONS OF SPINNING SHAFTS

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