Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69648
Title: Comparative studies on repeatable runout compensation using iterative learning control
Authors: Xu, J.-X. 
Lee, T.H. 
Zhang, H.-W. 
Keywords: Current cycle learning
Hard disk drive
Iterative learning control
Previous cycle learning
Repeatable run-out
Issue Date: 2001
Source: Xu, J.-X.,Lee, T.H.,Zhang, H.-W. (2001). Comparative studies on repeatable runout compensation using iterative learning control. Proceedings of the American Control Conference 4 : 2834-2839. ScholarBank@NUS Repository.
Abstract: In this paper, two types of iterative learning control schemes, previous cycle learning (PCL) and current cycle learning (CCL), are used to eliminate repeatable run-out (RRO) disturbance in hard disk drive (HDD) servomechanism. The convergence conditions of two learning control schemes have been explored in details. The analysis shows that PCL must possess a relative degree of zero. The CCL scheme, on the other hand, allows a relative degree of one for certain range of frequencies to be tracked. To illustrate and compare the applicability and effectiveness of the two ILC schemes for HDD RRO problems, a number of simulations are conducted under a noise contaminated environment.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/69648
ISSN: 07431619
Appears in Collections:Staff Publications

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