Title :
Adaptive control for a class of induction motors via an on-line flux calculation method
Author :
Vedagarbha, P. ; Dawson, D.M. ; Burg, T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
We design an adaptive, singularity-free, partial state feedback, position/velocity tracking controller for the full-order nonlinear dynamic model of an induction motor system. Specifically, based on the assumption that the induction motor is initially at rest (i.e. the input voltage is zero and the rotor is stationary), the proposed controller adapts for uncertainty associated with the mechanical subsystem parameters and the rotor resistance parameter while yielding asymptotic rotor position and rotor flux tracking. Experimental results are provided to illustrate the performance of the controller
Keywords :
adaptive control; adaptive singularity-free partial state feedback position/velocity tracking controller; asymptotic rotor position; full-order nonlinear dynamic model; induction motor; mechanical subsystem parameters; online flux calculation method; rotor flux tracking; rotor resistance parameter; Adaptive control; Induction motors; Nonlinear control systems; Nonlinear dynamical systems; Programmable control; Rotors; State feedback; Uncertainty; Velocity control; Voltage control;
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
DOI :
10.1109/CCA.1996.558933