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
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;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1428628