Title :
Novel Schemes for Repeatable Runout Compensation Using Adaptive Feedforward Cancellation
Author :
Wu, Shang-Chen ; Tomizuka, Masayoshi
Author_Institution :
Univ. of California, Berkeley
Abstract :
In this paper, new methods to estimate repeatable runout (RRO) in hard disk drives are proposed. The techniques are based on adaptive feedforward cancellation (AFC). To enhance the performance, the modified filtered-X LMS (MFX-LMS) adaptive algorithm is combined with Kalman filtering. The estimated data are used in real-time control to generate the compensation signal which cancels RRO disturbances. Simulation results show the effectiveness of the proposed schemes and the resulting reduction of position errors in the track following mode.
Keywords :
Kalman filters; disc drives; feedforward; hard discs; least mean squares methods; Kalman filtering; adaptive feedforward cancellation; filtered-X LMS adaptive algorithm; hard disk drives; performance enhancement; position error reduction; real-time control; repeatable runout compensation; repeatable runout estimation; Adaptive algorithm; Adaptive filters; Automatic frequency control; Cities and towns; Disk drives; Frequency estimation; Hard disks; Rail to rail outputs; Servomechanisms; Tracking loops;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282980
