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《Electrotechnical Application》 2006-07
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Study of the Levitation Subsystem of Bearingless Motors Based on Neural-Network

(Hunan University)  
The separate control of levitation force and torque in bearingless motors is ver y important for the high speed of the motors.The math model of levitation force is derived. Then a control model that based on DRNN is put forward and simulated by using Matlab.The simulation results show that the control system has good performance and can achieve the stable operation of the rotor in bearingless motors.
【Fund】: 湖南省自然科学基金(04JJ3007)
【CateGory Index】: TM32
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