DocumentCode
2793995
Title
A study on model reference variable structure control with adaptive sliding surface
Author
Nonaka, Ken-ichiro ; Yamakita, Masaki ; Furuta, Katsuhisa
Author_Institution
Dept. of Mech. & Environ. Inf., Tokyo Inst. of Technol., Japan
Volume
3
fYear
1996
fDate
11-13 Dec 1996
Firstpage
3504
Abstract
In this paper, for single-input single-output linear time invariant systems with unknown parameters, a new model reference variable structure control which has an adaptive sliding surface is proposed. This control is feasible using only input and output measurements. Under some usual assumptions in model reference adaptive control (MRAC) by applying the so-called e1-modification, the resulting closed loop system is shown to be globally stable in the presence of bounded input disturbances. Also disturbance attenuation is possible, to some extent, by changing the parameter of the sliding surface. In addition, since the identification error model can be suitably changed without prefilter and the relative degree of it is smaller by 1 compared with ordinary MRACs, the tracking performance can be improved. Simulation results are presented to show these advantages
Keywords
asymptotic stability; closed loop systems; identification; linear systems; model reference adaptive control systems; tracking; variable structure systems; adaptive sliding surface; bounded input disturbances; closed loop system; disturbance attenuation; e1-modification; global stability; identification error model; model reference variable structure control; single-input single-output linear time invariant systems; tracking performance; Adaptive control; Control systems; Informatics; Mechanical variables control; Programmable control; Robustness; Sliding mode control; Stability; Time invariant systems; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.573712
Filename
573712
Link To Document