Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2010.2041233
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dc.titleAdaptive neural network control of hard disk drives with hysteresis friction nonlinearity
dc.contributor.authorSan, P.P.
dc.contributor.authorRen, B.
dc.contributor.authorGe, S.S.
dc.contributor.authorLee, T.H.
dc.contributor.authorLiu, J.-K.
dc.date.accessioned2014-06-17T02:36:59Z
dc.date.available2014-06-17T02:36:59Z
dc.date.issued2011-03
dc.identifier.citationSan, P.P., Ren, B., Ge, S.S., Lee, T.H., Liu, J.-K. (2011-03). Adaptive neural network control of hard disk drives with hysteresis friction nonlinearity. IEEE Transactions on Control Systems Technology 19 (2) : 351-358. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2010.2041233
dc.identifier.issn10636536
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54917
dc.description.abstractIn this brief, an adaptive neural network (NN) friction compensator is presented for servo control of hard disk drives (HDDs). The existence of the hysteresis friction nonlinearity from pivot bearing, which is represented as the LuGre hysteresis friction model here, increases the position error signal of read-write head and deteriorates the performance of HDD servo systems. To compensate for the effect of the hysteresis friction nonlinearity, NN is adopted to approximate its unknown bounding function. With the proposed control, all the closed-loop signals are ensured to be bounded while the tracking error converges into a neighborhood of zero. Comprehensive comparisons between the conventional proportional-integral-derivative control (without friction compensator) and the proposed adaptive NN control (with friction compensator) are provided in experiment results. It is shown that the proposed control can mitigate the effect of the hysteresis friction nonlinearity and improve the track seeking performance. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TCST.2010.2041233
dc.sourceScopus
dc.subjectAdaptive control
dc.subjectHard disk drive (HDD)
dc.subjectHysteresis friction compensation
dc.subjectNeural networks (NNs)
dc.subjectPivot
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TCST.2010.2041233
dc.description.sourcetitleIEEE Transactions on Control Systems Technology
dc.description.volume19
dc.description.issue2
dc.description.page351-358
dc.description.codenIETTE
dc.identifier.isiut000287655400010
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