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- W2363909002 abstract "Ultrasonic motor(USM) has time-varying nonlinearity and strong coupling,which causes a great deal of difficulties in establishing the mathematical model of the motor exactly.To solve this problem,aiming at the nonlinear inverse control of speed for ultrasonic motor as application background,this paper worked out an inverse model identification method of ultrasonic motor using neural network.Based on enough measured data,the model form was determined as nonlinear DTNN network with three layers after repeated testing.Later,the paper conducted series parallel identification,worked out the neural network inverse model of ultrasonic motor using the motor speed as input and driving frequency as output.Calculation results of the obtained model are close to measured data,it indicates that the modeling method is reasonable and the model is effective." @default.
- W2363909002 created "2016-06-24" @default.
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- W2363909002 date "2013-01-01" @default.
- W2363909002 modified "2023-09-26" @default.
- W2363909002 title "Inverse Model Identification of Ultrasonic Motor Using Neural Network" @default.
- W2363909002 hasPublicationYear "2013" @default.
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