Presentation 2003/6/19
Speed Sensorless Control for Ultrasonic Motors Using Neural Network
Tomonobu SENJYU, Tomohiro YOSHIDA, Katsumi UEZATO, S. K. PANDA,
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Abstract(in English) Ultrasonic motor (USM) is a special type motor, which is driven by the ultrasonic vibration force of piezoelectric elements. It has an excellent performance and many other useful features, e.g., high torque, low speed operation, compact in size, no electromagnetic interferences, and so on. However, this motor has a nonlinear speed characteristics, which vary with drive conditions associated with a temperature and applied load torque of USM. Accurate speed information is necessary to realize high performance and high-precision speed control of an ultrasonic motor. The rotor speed is measured by using mechanical sensors such as resolvers or pulse encoders. However, these sensors are usually expensive and bulky. Therefore, the cost and size of the drive system are increased. The use of neural network to identify nonlinear characteristics is very useful because of nonlinear identification ability. The validity of the proposed method is confirmed by experimental results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ultrasonic motor / speed sensorless control / neural network
Paper # NC2003-10
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Committee NC
Conference Date 2003/6/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speed Sensorless Control for Ultrasonic Motors Using Neural Network
Sub Title (in English)
Keyword(1) ultrasonic motor
Keyword(2) speed sensorless control
Keyword(3) neural network
1st Author's Name Tomonobu SENJYU
1st Author's Affiliation Faculty of Engineering, University of the Ryukyus()
2nd Author's Name Tomohiro YOSHIDA
2nd Author's Affiliation Faculty of Engineering, University of the Ryukyus
3rd Author's Name Katsumi UEZATO
3rd Author's Affiliation Faculty of Engineering, University of the Ryukyus
4th Author's Name S. K. PANDA
4th Author's Affiliation Department of Electrical and Computer Engineering, National University of Singapore
Date 2003/6/19
Paper # NC2003-10
Volume (vol) vol.103
Number (no) 152
Page pp.pp.-
#Pages 6
Date of Issue