Title :
Self-organizing intelligent system and its application for hard disk drive control
Author :
Li, Chunshien ; Cheng, Kuo-Hsiang ; Chen, Jin-Long ; Chen, Chih-Ming
Author_Institution :
Dept. of Electr. Eng., Chang Gung Univ., Taiwan
Abstract :
An intelligent system with self-organizing ability is discussed in this paper. The intelligent system is based on computational models of fuzzy inference, neural-processing, and machine learning. The concept of pseudo errors is utilized in the study. Clusters are generated from the pseudo-error information, and they are corresponding to fuzzy rules of the self-organizing neuro-fuzzy system (SO-NFS). In this paper, a learning scheme is proposed for hard disk drive (HDD) motion control. The SO-NFS is used as a controller to the HDD servo system for both the track-seeking and the track-following motion control. A reference speed-displacement curve is used to guide the control process. Good performance of the proposed approach is observed.
Keywords :
disc drives; hard discs; learning (artificial intelligence); motion control; self-adjusting systems; servomechanisms; HDD servo system; fuzzy inference; fuzzy rules; hard disk drive control; machine learning; neural-processing; pseudo-error information; reference speed-displacement curve; self-organizing intelligent system; self-organizing neuro-fuzzy system; track-following motion control; Computational intelligence; Computational modeling; Control systems; Fuzzy systems; Hard disks; Intelligent control; Intelligent systems; Learning systems; Motion control; Tracking;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470306
