A Multiobjective Genetic Algorithm for Optimizing the Performance of Hard Disk Drive Motion Control System

Author

Low, Kay-Soon ; Wong, Tze-Shyan

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

54

Issue

3

fYear

2007

fDate

6/1/2007 12:00:00 AM

Firstpage

1716

Lastpage

1725

Abstract

In developing a hard disk drive servo system, there are multiple design control objectives to be met simultaneously. While some of the objectives are constraint objectives, others are simply optimization objectives. In this paper, we investigate a new multiobjective genetic algorithm (GA) for tuning servo controller parameters such that the resultant performance can satisfy all the desired requirements. Unlike the conventional single-objective GA, this new approach is able to place higher priority on the constraint objectives than the optimization objectives. Experimental results that are based on a commercial hard disk drive are presented

Keywords

disc drives; genetic algorithms; hard discs; machine control; motion control; motor drives; servomotors; small electric machines; genetic algorithm; hard disk drive motion control system; motor drive; servo controller parameter; Algorithm design and analysis; Constraint optimization; Design optimization; Digital signal processing; Disk drives; Genetic algorithms; Hard disks; Memory; Motion control; Servomechanisms; Genetic algorithms (GAs); hard disks; motion control; motor drive;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2007.894709

Filename

4182518