Title :
State-space local model networks based continuous-time GPC. Application to induction motor
Author_Institution :
Univ. de Picardie-Jules Verne, Amiens, France
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703232