Title :
Neural network control of a hard disc drive
Author :
Herrmann, Guido ; Shuzhi Sam Ge ; Guoxiao Guo
Author_Institution :
Data Storage Inst., Singapore
Abstract :
An adaptive neural network (NN) controller is applied to the voice-coil-motor (VCM)-actuator of a hard disc drive (HDD). The controller can track asymptotically a given demand trajectory while compensating robustly for bounded friction and bias forces. It is shown practically that this controller is a good candidate for a track seek/following controller in hard discs.
Keywords :
compensation; disc drives; electric actuators; friction; hard discs; neurocontrollers; position control; tracking; HDD; adaptive neural network controller; asymptotic demand trajectory tracking; bias force compensation; bounded friction compensation; hard disc drive; neural network control; servosystems; track seek/following controller; voice-coil-motor actuator; Actuators; Adaptive control; Friction; Hard disks; Neural networks; Programmable control; Robust control; Servosystems; Sliding mode control; Trajectory;
Conference_Titel :
Magnetic Recording Conference, 2002. Digest of the Asia-Pacific
Conference_Location :
Singapore
Print_ISBN :
0-7803-7509-2
DOI :
10.1109/APMRC.2002.1037687