Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2010.2041233
Title: Adaptive neural network control of hard disk drives with hysteresis friction nonlinearity
Authors: San, P.P. 
Ren, B. 
Ge, S.S. 
Lee, T.H. 
Liu, J.-K.
Keywords: Adaptive control
Hard disk drive (HDD)
Hysteresis friction compensation
Neural networks (NNs)
Pivot
Issue Date: Mar-2011
Source: San, 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
Abstract: In 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.
Source Title: IEEE Transactions on Control Systems Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/54917
ISSN: 10636536
DOI: 10.1109/TCST.2010.2041233
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

26
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

16
checked on Nov 11, 2017

Page view(s)

23
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.