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Article: Servo Position Control of Ultrasonic Motors Using Fuzzy Neural Network

TitleServo Position Control of Ultrasonic Motors Using Fuzzy Neural Network
Authors
Issue Date2001
PublisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/15325008.asp
Citation
Electric Machines And Power Systems, 2001, v. 29 n. 3, p. 229-246 How to Cite?
AbstractWith their significant advantages over traditional electromagnetic motors, ultrasonic motors (USMs) are becoming attractive for mechatronic applications. Since USMs suffer from a lack of applicable mathematical model while their speed characteristics are heavily nonlinear and time varying, it used to be difficult to apply them for servo application. This paper presents a fuzzy neural network controller for servo position control of an USM. It combines both the knowledge-based fuzzy logic and the learning-incorporated neural network. As a result, it compensates the nonlinear behavior of the motor and optimizes its performance on-line. To further improve the motor performance, both of their control inputs, namely the driving frequency and phase difference of the 2-phase inverter waveforms, arc employed. Experiments are then performed for various reference inputs. The results demonstrate superiority of the controller in terms of tracking and steady-state performance. Copyright © 2001 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/73526
ISSN
2002 Impact Factor: 0.179
References

 

DC FieldValueLanguage
dc.contributor.authorChau, KTen_HK
dc.contributor.authorChung, SWen_HK
dc.date.accessioned2010-09-06T06:52:11Z-
dc.date.available2010-09-06T06:52:11Z-
dc.date.issued2001en_HK
dc.identifier.citationElectric Machines And Power Systems, 2001, v. 29 n. 3, p. 229-246en_HK
dc.identifier.issn0731-356Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/73526-
dc.description.abstractWith their significant advantages over traditional electromagnetic motors, ultrasonic motors (USMs) are becoming attractive for mechatronic applications. Since USMs suffer from a lack of applicable mathematical model while their speed characteristics are heavily nonlinear and time varying, it used to be difficult to apply them for servo application. This paper presents a fuzzy neural network controller for servo position control of an USM. It combines both the knowledge-based fuzzy logic and the learning-incorporated neural network. As a result, it compensates the nonlinear behavior of the motor and optimizes its performance on-line. To further improve the motor performance, both of their control inputs, namely the driving frequency and phase difference of the 2-phase inverter waveforms, arc employed. Experiments are then performed for various reference inputs. The results demonstrate superiority of the controller in terms of tracking and steady-state performance. Copyright © 2001 Taylor & Francis.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/15325008.aspen_HK
dc.relation.ispartofElectric Machines and Power Systemsen_HK
dc.titleServo Position Control of Ultrasonic Motors Using Fuzzy Neural Networken_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1532-5008&volume=29&issue=3&spage=229&epage=246&date=2001&atitle=Servo+position+control+of+ultrasonic+motors+using+fuzzy+neural+networken_HK
dc.identifier.emailChau, KT:ktchau@eee.hku.hken_HK
dc.identifier.authorityChau, KT=rp00096en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/153250001300006644en_HK
dc.identifier.scopuseid_2-s2.0-0001286024en_HK
dc.identifier.hkuros57956en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-27144507577&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume29en_HK
dc.identifier.issue3en_HK
dc.identifier.spage229en_HK
dc.identifier.epage246en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChau, KT=7202674641en_HK
dc.identifier.scopusauthoridChung, SW=7404292499en_HK

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