Mk. Maaziz et al., A new control strategy for induction motor based on non-linear predictive control and feedback linearization, INT J ADAPT, 14(2-3), 2000, pp. 313-329
Citations number
14
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
Proposed in this paper is a new approach of design using a monovariable gen
eralized predictive control law, with multiple reference model (GPC/MRM) to
control, firstly, rotor speed and rotor flux amplitude of an induction mac
hine. The control law will be extended and applied, secondly, to answer a s
econd objective which is the control of the rotor position and rotor flux a
mplitude of the same machine. The non-linear dynamical model of the machine
is described in the stator fixed reference frame. The GPC algorithm is com
bined with the non-linear input-output linearizing control properties; more
over, we establish a new formulation of the reference signals, which enable
s one to track flux and speed/position nominal profiles, satisfying motor c
onstraints. The global controller synthesis is given under an RST form whic
h introduces a novel definition of the prefiltering polynomial. Copyright (
C) 2000 John Wiley & Sons, Ltd.