Multivariable state-space CGPC application to induction motor control

Author

Hentabli, K. ; Benbouzid, M.E.H. ; Pinchon, D.

Author_Institution

Lab. des Syst. Autom., Univ. de Picardie-Jules Verne, Amiens, France

Volume

1

fYear

1997

fDate

9-14 Nov 1997

Firstpage

181

Abstract

This paper presents an application of modern control theory to the control of an induction motor system. A multivariable continuous-time generalized predictive control, using a state space approach, is developed in which the Kalman filter is tuned for high robustness by a method of Doyle and Stein. The design is carried out for the system, and simulation results are included

Keywords

Kalman filters; continuous time systems; control system analysis; control system synthesis; filtering theory; induction motors; machine control; machine theory; multivariable control systems; predictive control; robust control; state-space methods; Kalman filter tuning; control design; control simulation; control theory; induction motor control; multivariable continuous-time generalized predictive control; robustness; state-space approach; Automatic control; DC motors; Differential equations; Induction motors; Matrices; Predictive control; Robustness; State estimation; State-space methods; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3932-0

Type

conf

DOI

10.1109/IECON.1997.671043

Filename

671043