A new model reference adaptive control law

Author

Saleh, Saleh A. ; Woo, Peng-Yung

Author_Institution

Dept. of Elecr. Eng., Northern Illinois Univ., DeKalb, IL, USA

fYear

1992

fDate

17-19 Sep 1992

Firstpage

71

Lastpage

74

Abstract

A model reference adaptive control mechanism for controlling linear time-varying processes is introduced. In this mechanism, only one controller parameter is adjusted to compensate for variations in the plant parameters while keeping the remaining controller parameters fixed. Online estimation of the process parameters is required to find the values of the adaptive controller parameters, which can be done by allowing one controller parameter to vary while keeping the rest fixed. Then by equating the system difference equation to the model output, one can solve for the adjustable parameter. The closer the estimate of the process parameters to their true values, the closer is the convergence of the system output to that of the model. This method has a very fast convergence rate, because the controller parameter is adjusted online at every sampling instant

Keywords

convergence; difference equations; linear systems; model reference adaptive control systems; parameter estimation; time-varying systems; convergence rate; difference equation; linear time-varying processes; model reference adaptive control; parameter estimation; Adaptive control; Control system synthesis; Control systems; Difference equations; Process control; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1992., IEEE International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-0734-8

Type

conf

DOI

10.1109/ICSYSE.1992.236940

Filename

236940