Model reference adaptive control of nonlinear system using feedback linearization

Author

Lee, Jae-kwan ; Suh, Bo-hyeok ; Abe, Ken-ichi

Author_Institution

Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan

fYear

1995

fDate

26-28 Jul 1995

Firstpage

1571

Lastpage

1576

Abstract

Develops an indirect adaptive controller using feedback linearization (IACFL). IACFL addresses the problem of designing a robust controller for a nonlinear system with observable nonlinear functions and state variables. IACFL consists of strictly positive real (STR)-Lyapunov synthesis algorithm, Input state feedback linearization (ISFL) algorithm, and model reference adaptive controller (MRAC). IACFL provides that, when estimated parameters of the nonlinear system are given in ISFL repeatedly, the output of nonlinear system can follow that of a stable reference linear model

Keywords

feedback; linearisation techniques; model reference adaptive control systems; nonlinear control systems; parameter estimation; indirect adaptive controller; input state feedback linearization; model reference adaptive control; nonlinear system; observable nonlinear functions; robust controller; stable reference linear model; Adaptive control; Control system synthesis; Control systems; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Parameter estimation; Programmable control; Robust control; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers

Conference_Location

Hokkaido

Print_ISBN

0-7803-2781-0

Type

conf

DOI

10.1109/SICE.1995.526970

Filename

526970