DocumentCode
3299351
Title
Optimal reset law design of reset control systems with application to HDD systems
Author
Guo, Yuqian ; Wang, Youyi ; Xie, Lihua ; Li, Hui ; Gui, Weihua
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
5287
Lastpage
5292
Abstract
This paper investigates optimal reset law design of reset control systems with fixed reset time instants. Firstly, closed-loop reset control system is changed to discrete linear control system with reset values as control input. Then the optimal reset law design problems are transferred to standard linear quadratic regulation problems and the optimal reset laws are then obtained by solving some Riccati equations. As an application, the proposed optimal reset law design is applied to track-seeking control of a kind of hard disk drive systems. Simulations show that the proposed technique can improve the transient response significantly. Especially, the proposed long-span seeking reset controller is almost time optimal, but the design process is much simpler than optimal time control design.
Keywords
Riccati equations; closed loop systems; control system synthesis; disc drives; discrete systems; hard discs; linear quadratic control; linear systems; Riccati equation; closed-loop reset control system; discrete linear control system; hard disk drive system; linear quadratic regulation problem; long-span seeking reset controller; optimal reset law design; track-seeking control; Control systems; Costs; Feedback control; Hard disks; Information science; Linear feedback control systems; Optimal control; Riccati equations; Stability analysis; Transient response;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5399857
Filename
5399857
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