DocumentCode
434577
Title
Tracking performance improvement of a model reference robust control
Author
Yan, Lin ; Xu, Jiang
Author_Institution
Sch. of Autom., Beijing Univ. of Aeronaut. & Astronautics, China
Volume
1
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
189
Abstract
In this paper, we consider the tracking performance problem of a model reference robust control (MRRC) for plants with relative degree greater than one. A new algorithm is proposed based on the earlier research. It is shown that by applying a special transformation to the tracking system, the Lα bound of the tracking error can be achieved even when the high frequency gain is uncertain, and both the tracking performance and the control effort can be improved significantly. Furthermore, the strictly positive real (SPR) condition, which is an essential assumption of the earlier design, can be removed.
Keywords
Lyapunov methods; model reference adaptive control systems; robust control; tracking; Lyapunov function; model reference robust control; strictly positive real condition; tracking performance improvement; tracking system; Algorithm design and analysis; Analytical models; Automation; Backstepping; Control systems; Error correction; Mathematical model; Missiles; Rail to rail outputs; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1428628
Filename
1428628
Link To Document