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Title: Modeling and compensation of pivot nonlinearity in hard disk drives
Authors: Hredzak, B.
Hong, F.
Ge, S.S. 
Zhang, J.
He, Z.
Keywords: Adaptive neural networks
Friction compensation
Friction model
Magnetic disk drive
Pivot nonlinearity
Servo control
Issue Date: 2007
Citation: Hredzak, B.,Hong, F.,Ge, S.S.,Zhang, J.,He, Z. (2007). Modeling and compensation of pivot nonlinearity in hard disk drives. Proceedings of the IEEE International Conference on Control Applications : 108-113. ScholarBank@NUS Repository.
Abstract: In this paper we propose a new, straightforward approach to derive model of the pivot nonlinearity in the hard disk drive. The proposed nonlinear model is not based on classical pivot nonlinearity models. It is derived using frequency domain measurements obtained for different amplitudes of the actuator excitation current. One of the advantages of the obtained model is that it is derived using actual experimental measurements conducted under the real operating conditions of the hard disk drive. Experimental results show good match of the derived model with both the frequency and time domain measurements. The derived model is subsequently used for feedforward compensation of the pivot nonlinearity and the experimental results are presented. Simulation studies are carried out for adaptive neural network compensation using the derived model. © 2007 IEEE.
Source Title: Proceedings of the IEEE International Conference on Control Applications
ISBN: 1424404436
DOI: 10.1109/CCA.2007.4389214
Appears in Collections:Staff Publications

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