A stable adaptive implementation of the internal model principle

Author

Feng, Gang ; Palaniswami, M.

Author_Institution

Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

Volume

37

Issue

8

fYear

1992

fDate

8/1/1992 12:00:00 AM

Firstpage

1220

Lastpage

1225

Abstract

An adaptive implementation of the internal model principle for linear time-invariant systems that allows for rejection of unknown deterministically modeled disturbances is provided. The minimal representation of the system model is used for parameter estimation, and the global convergence and stability of the algorithm are investigated with unmodeled dynamics. With proper modification of the parameter estimation algorithm, global convergence and stability for the algorithm are obtained without the requirement of persistent excitation. Some simulation results are given to support the analysis

Keywords

model reference adaptive control systems; parameter estimation; stability; MRAC; disturbance rejection; global convergence; internal model principle; linear time-invariant systems; minimal representation; parameter estimation; stable adaptive implementation; unknown deterministically modeled disturbances; Adaptive control; Control systems; Convergence; Electrical equipment industry; Induction motors; Optimal control; Parameter estimation; Robust control; Stability; Velocity measurement;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.151111

Filename

151111