DocumentCode :
3444014
Title :
State-space local model networks based continuous-time GPC. Application to induction motor
Author :
Hentabli, K.
Author_Institution :
Univ. de Picardie-Jules Verne, Amiens, France
Volume :
6
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
3435
Abstract :
This paper presents a nonlinear control structure known as local controller network. The structure consists of a weighted combination of a number of individual continuous-time generalised predictive controllers (GPC), each of which is valid locally in the state space of the plant. Local controller designs are based upon local models valid in operating regimes which correspond to N physical equilibrium points of the system. The design is carried out for the induction motor, and simulation results are included
Keywords :
directed graphs; nonlinear control systems; predictive control; state-space methods; continuous-time GPC; continuous-time generalised predictive controllers; induction motor; local controller network; nonlinear control structure; state-space local model networks; Control systems; Equations; Induction motors; Intrusion detection; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Power system modeling; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.703232
Filename :
703232
Link To Document :
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