Neural-network controller for parallel-resonant ultrasonic motor drive

Faa Jeng Lin; Rong Jong Wai; Rou Yong Duan

doi:10.1109/87.772165

Neural-network controller for parallel-resonant ultrasonic motor drive

Faa Jeng Lin, Rong Jong Wai, Rou Yong Duan

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

A newly designed driving circuit for the travelling-wave type ultrasonic motor (USM), which is composed of a push-pull dc-dc power converter using PWM direct duty-cycle control and a current-source two-phase parallel-resonant capacitor-parallel load inverter, is described in this study. Moreover, since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, an on-line trained neural-network (NN) controller is proposed to control the rotor speed and position of the USM. Accurate tracking response can be obtained due to the powerful on-line learning capability of the NN controller. Furthermore, the influence of parameter variations and external disturbances on the USM drive also can be reduced effectively. The effectiveness of the NN controlled USM drive system is demonstrated by experimental results.

Original language	English
Pages (from-to)	494-501
Number of pages	8
Journal	IEEE Transactions on Control Systems Technology
Volume	7
Issue number	4
DOIs	https://doi.org/10.1109/87.772165
State	Published - Jul 1999

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title = "Neural-network controller for parallel-resonant ultrasonic motor drive",

abstract = "A newly designed driving circuit for the travelling-wave type ultrasonic motor (USM), which is composed of a push-pull dc-dc power converter using PWM direct duty-cycle control and a current-source two-phase parallel-resonant capacitor-parallel load inverter, is described in this study. Moreover, since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, an on-line trained neural-network (NN) controller is proposed to control the rotor speed and position of the USM. Accurate tracking response can be obtained due to the powerful on-line learning capability of the NN controller. Furthermore, the influence of parameter variations and external disturbances on the USM drive also can be reduced effectively. The effectiveness of the NN controlled USM drive system is demonstrated by experimental results.",

author = "Lin, {Faa Jeng} and Wai, {Rong Jong} and Duan, {Rou Yong}",

note = "Funding Information: Manuscript received July 7, 1997; revised July 16, 1998. Recommended by Associate Editor, N. Sundararajan. This work was supported by the National Science Council of Taiwan, R.O.C. under Grant NSC 86-2213-E033-044. The authors are with the Department of Electrical Engineering, Chung Yuan Christian University, Chung Li 32023, Taiwan. Publisher Item Identifier S 1063-6536(99)05247-1.",

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AU - Lin, Faa Jeng

AU - Wai, Rong Jong

AU - Duan, Rou Yong

N1 - Funding Information: Manuscript received July 7, 1997; revised July 16, 1998. Recommended by Associate Editor, N. Sundararajan. This work was supported by the National Science Council of Taiwan, R.O.C. under Grant NSC 86-2213-E033-044. The authors are with the Department of Electrical Engineering, Chung Yuan Christian University, Chung Li 32023, Taiwan. Publisher Item Identifier S 1063-6536(99)05247-1.

PY - 1999/7

Y1 - 1999/7

N2 - A newly designed driving circuit for the travelling-wave type ultrasonic motor (USM), which is composed of a push-pull dc-dc power converter using PWM direct duty-cycle control and a current-source two-phase parallel-resonant capacitor-parallel load inverter, is described in this study. Moreover, since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, an on-line trained neural-network (NN) controller is proposed to control the rotor speed and position of the USM. Accurate tracking response can be obtained due to the powerful on-line learning capability of the NN controller. Furthermore, the influence of parameter variations and external disturbances on the USM drive also can be reduced effectively. The effectiveness of the NN controlled USM drive system is demonstrated by experimental results.

AB - A newly designed driving circuit for the travelling-wave type ultrasonic motor (USM), which is composed of a push-pull dc-dc power converter using PWM direct duty-cycle control and a current-source two-phase parallel-resonant capacitor-parallel load inverter, is described in this study. Moreover, since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, an on-line trained neural-network (NN) controller is proposed to control the rotor speed and position of the USM. Accurate tracking response can be obtained due to the powerful on-line learning capability of the NN controller. Furthermore, the influence of parameter variations and external disturbances on the USM drive also can be reduced effectively. The effectiveness of the NN controlled USM drive system is demonstrated by experimental results.

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JO - IEEE Transactions on Control Systems Technology

JF - IEEE Transactions on Control Systems Technology

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ER -

Neural-network controller for parallel-resonant ultrasonic motor drive

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