Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2004.838567
Title: Practical implementation of a neural network controller in a hard disk drive
Authors: Herrmann, G.
Ge, S.S. 
Guo, G.
Keywords: Actuators
Friction
Hard disks
Neural networks (NNs)
Servo systems
Issue Date: Jan-2005
Source: Herrmann, G., Ge, S.S., Guo, G. (2005-01). Practical implementation of a neural network controller in a hard disk drive. IEEE Transactions on Control Systems Technology 13 (1) : 146-154. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2004.838567
Abstract: This brief gives a practical account of the application of an improved adaptive neural network (NN) controller to the voice-coil-motor (VCM)-actuator of a hard disk drive (HDD). Necessary practical modifications are presented which allow the implementation of the controller for a VCM-actuator with highfrequency resonances. For resonance compensation, notch filter compensators are augmented while parameter estimation errors are counteracted by employing robust parameter estimation techniques. It is shown practically that this controller is a good candidate for a track seek/following controller in HDDs. © 2005 IEEE.
Source Title: IEEE Transactions on Control Systems Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/57100
ISSN: 10636536
DOI: 10.1109/TCST.2004.838567
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