Please use this identifier to cite or link to this item:
Title: To a high performance linear controller and its application to a hdd-track following servo system
Authors: Herrmann, G.
Ge, S.S. 
Guo, G.
Keywords: Compensation
Neural networks
Issue Date: 2005
Citation: Herrmann, G.,Ge, S.S.,Guo, G. (2005). To a high performance linear controller and its application to a hdd-track following servo system. IFAC Proceedings Volumes (IFAC-PapersOnline) 16 : 97-102. ScholarBank@NUS Repository.
Abstract: The performance of a linear, discrete high performance track following controller in a hard disk drive is improved for its disturbance rejection by augmentation of a discrete non-linear, adaptive neural network (NN) element. The neural network element is deemed to be particularly effective for rejection of bias forces, such as friction. Theoretical and experimental results have been obtained. It is shown theoretically that a NN-element is effective in counteracting a non-linear, system-specific, model-dependent disturbance. The disturbance is assumed to be unknown, with the exception that the disturbance is known to be matched to the plant actuator input range and the disturbance is an (unknown) continuous function of the plant output measurements. in an experiment for a laboratory HDD-servo system, it is shown that the NN-control element improves performance and appears particularly effective for a reasonably small number of NN-nodes. Copyright © 2005 IFAC.
Source Title: IFAC Proceedings Volumes (IFAC-PapersOnline)
ISBN: 008045108X
ISSN: 14746670
Appears in Collections:Staff Publications

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

Page view(s)

checked on Mar 30, 2020

Google ScholarTM



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