Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/71472
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dc.titlePosition control of ultrasonic motors using dead-zone compensation with fuzzy neural network
dc.contributor.authorSenjyu, T.
dc.contributor.authorYoshida, T.
dc.contributor.authorUezato, K.
dc.contributor.authorPanda, S.K.
dc.date.accessioned2014-06-19T03:24:08Z
dc.date.available2014-06-19T03:24:08Z
dc.date.issued2003
dc.identifier.citationSenjyu, T.,Yoshida, T.,Uezato, K.,Panda, S.K. (2003). Position control of ultrasonic motors using dead-zone compensation with fuzzy neural network. PESC Record - IEEE Annual Power Electronics Specialists Conference 4 : 1871-1876. ScholarBank@NUS Repository.
dc.identifier.issn02759306
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71472
dc.description.abstractUltrasonic motor has nonlinear characteristics, which vary with driving conditions and possess variable dead-zone in the control input that is associated with the applied load torque. The dead-zone has a problem in accurate positioning actuator. To improve the control performance of the ultrasonic motor the dead-zone nonlinearity should be eliminated. This paper proposes a new position control scheme for the ultrasonic motors, that eliminates the problem due to dead-zone by employing fuzzy neural network(FNN). To achieve accurate position control when drive conditions vary, FNN adjust the membership function for antecedent part. The training of FNN is achieved using online backpropagation algorithm. The dead-zone is compensated by FNN, and PI controller performs accurate positioning of the drive system. The validity of the proposed method is confirmed by experimental results.
dc.sourceScopus
dc.subjectDead-zone
dc.subjectFuzzy neural network
dc.subjectPosition control
dc.subjectUltrasonic motor
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitlePESC Record - IEEE Annual Power Electronics Specialists Conference
dc.description.volume4
dc.description.page1871-1876
dc.description.codenPRICD
dc.identifier.isiutNOT_IN_WOS
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