Design of an adaptive linearizing control for induction motors

Author

Pereira, Luís Fernando A ; Hemerly, Elder M.

Author_Institution

Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre, Brazil

Volume

2

fYear

1995

fDate

6-10 Nov 1995

Firstpage

1012

Abstract

A nonlinear adaptive state feedback linearizing control scheme for induction motors is designed in this paper. The control algorithm relies on the fourth-order nonlinear dynamic model of the motor and a variant of the least squares algorithm is employed for parameter estimation. The multivariable model reference adaptive scheme is used for tracking motor torque and flux references, considering the full state accessible. The closed-loop system stability is proved by Lyapunov like techniques

Keywords

Lyapunov methods; control system analysis; control system synthesis; induction motors; least squares approximations; linearisation techniques; machine control; machine theory; model reference adaptive control systems; nonlinear control systems; parameter estimation; stability; state feedback; Lyapunov like techniques; adaptive linearizing control; closed-loop system stability; control algorithm; control design; control simulation; flux reference tracking; fourth-order nonlinear dynamic model; induction motors; least squares algorithm; multivariable model reference adaptive scheme; nonlinear adaptive state feedback; parameter estimation; torque tracking; Adaptive control; Induction motors; Least squares approximation; Linear feedback control systems; Nonlinear dynamical systems; Parameter estimation; Programmable control; Stability; State feedback; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-3026-9

Type

conf

DOI

10.1109/IECON.1995.483868

Filename

483868