By Topic

A self-tuning robust track-following control of sampled-data hard disk drive servo-system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Qi Hao ; Data Storage Inst., Singapore ; Guoxiao Guo ; Shinxin Chen ; Teck-Seng Low

This paper presents a self-tuning scheme based on the response surface method (RSM) to find the optimal finite impulse response (FIR) Youla parameter for an observer based state feedback track-following controller that minimizes the 3 times standard deviation of the position error signal in an HDD servo system. All the tested Youla parameters to construct the response surface were selected within a robust stable region which was defined by an artificial neural network (ANN) trained off-line. Such that the H, bound of some sampled-data system channels could be kept during the response data collection. The experimental data show that such a self-tuning scheme could improve the position accuracy considerably in a short tuning time without any prior knowledge of the disturbance and noise, while robustly stabilizing the system

Published in:

American Control Conference, 2001. Proceedings of the 2001  (Volume:5 )

Date of Conference: