Neural-network controller for parallel-resonant ultrasonic motor drive

Faa Jeng Lin, Rong Jong Wai, Rou Yong Duan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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 languageEnglish
Pages (from-to)494-501
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Issue number4
StatePublished - Jul 1999


Dive into the research topics of 'Neural-network controller for parallel-resonant ultrasonic motor drive'. Together they form a unique fingerprint.

Cite this