DocumentCode :
2871589
Title :
Frequency domain system identification for servo system in HGA testing system using Particle Swarm Optimization
Author :
Jatturongkapolkul, Tanachai ; Panomruttanarug, Benjamas
Author_Institution :
Dept. of Control Syst. & Instrum., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand
fYear :
2011
fDate :
7-10 Nov. 2011
Firstpage :
587
Lastpage :
591
Abstract :
In the disk drive industry, head gimbal assemblies (HGAs) may be individually tested prior installation in a disk drive. While performing a test, a false negative result may be created because of external air turbulence caused by the rotation of the test disk. The objective of this paper is to find a model of the servo system in HGA testing system so that we know how to adjust the command to get rid of the effect of disturbance. The technique so called Transfer Function Determination Code (TFDC) is proposed to model the system in the frequency domain. In addition, Particle Swarm Optimization (PSO) is used to adjust the weights in TFDC algorithm in each frequency. The simulation results show a comparison of different inertia weight adjustments for the models.
Keywords :
atmospheric turbulence; disc drives; frequency-domain analysis; identification; particle swarm optimisation; servomechanisms; transfer functions; HGA testing system; TFDC algorithm; disk drive industry; external air turbulence; frequency domain system identification; head gimbal assembly; inertia weight adjustment; particle swarm optimization; servo system; test disk rotation; transfer function determination code; Assembly; Equations; Frequency domain analysis; Mathematical model; Particle swarm optimization; Servomotors; Transfer functions; Head gimbal assembly; inertia weight; particle swarm optimization; servo system; transfer function determination code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
ISSN :
1553-572X
Print_ISBN :
978-1-61284-969-0
Type :
conf
DOI :
10.1109/IECON.2011.6119376
Filename :
6119376
Link To Document :
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