Title :
Adaptive partial state feedback control of the induction motor: elimination of rotor flux and rotor velocity measurements
Author :
Aquino, P. ; Feemster, M. ; Dawson, D.M. ; Behal, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
We present an adaptive, singularity free, partial-state feedback position tracking controller for the full-order, nonlinear dynamic model of an induction motor driving a mechanical subsystem. The controller ensures global asymptotic rotor position tracking despite parametric uncertainty associated with rotor resistance effects and the mechanical subsystem. In contrast to the previous work, the proposed controller requires only rotor position and stator current measurements (i.e., rotor velocity and rotor flux measurements are not required)
Keywords :
adaptive control; electric current measurement; induction motors; machine control; position control; position measurement; state feedback; adaptive partial state feedback control; full-order nonlinear dynamic model; mechanical subsystem; parametric uncertainty; position tracking; rotor position measurement; singularity free control; stator current measurements; Adaptive control; Current measurement; Electrical resistance measurement; Induction motors; Position measurement; Programmable control; Rotors; State feedback; Stators; Velocity control;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760823