Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIE.2009.2027257
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dc.titleDisturbance and friction compensations in hard disk drives using neural networks
dc.contributor.authorLai, C.Y.
dc.contributor.authorLewis, F.L.
dc.contributor.authorVenkataramanan, V.
dc.contributor.authorRen, X.
dc.contributor.authorGe, S.S.
dc.contributor.authorLiew, T.
dc.date.accessioned2014-06-19T03:07:01Z
dc.date.available2014-06-19T03:07:01Z
dc.date.issued2010-02
dc.identifier.citationLai, C.Y., Lewis, F.L., Venkataramanan, V., Ren, X., Ge, S.S., Liew, T. (2010-02). Disturbance and friction compensations in hard disk drives using neural networks. IEEE Transactions on Industrial Electronics 57 (2) : 784-792. ScholarBank@NUS Repository. https://doi.org/10.1109/TIE.2009.2027257
dc.identifier.issn02780046
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69996
dc.description.abstractIn this paper, we show that by using two adaptive neural networks (NNs), each of which is tailored for a specific task, the tracking performance of the hard-disk-drive (HDD) actuator can be significantly improved. The first NN utilizes accelerometer signal to detect external vibrations and compensates for its effect on HDD position via feedforward action. The second NN is designed to compensate for pivot friction. The appealing advantage of the NN compensators is that the design does not involve any information on the plant, sensor, disturbance dynamics, and friction model. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Experimental results show that the tracking performance of the HDDs can be improved significantly with the use of the NN compensators as compared to the case without compensation. © 2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIE.2009.2027257
dc.sourceScopus
dc.subjectDisturbance feedforward
dc.subjectFriction compensation
dc.subjectHard disk drives (HDDs)
dc.subjectNeural networks (NNs)
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIE.2009.2027257
dc.description.sourcetitleIEEE Transactions on Industrial Electronics
dc.description.volume57
dc.description.issue2
dc.description.page784-792
dc.description.codenITIED
dc.identifier.isiut000273608500035
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