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Adaptive tracking control of an induction motor with robustness to parametric uncertainty

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3 Author(s)
J. Hu ; School of Electr. & Comput. Eng., Clemson Univ., SC, USA ; D. M. Dawson ; Z. Qu

The paper presents an adaptive tracking controller for an induction motor driving a load. Using nonlinear models of the motor and load, an asymptotic stability (AS) result for the rotor position/velocity tracking error is obtained. The control is capable of handling parametric uncertainty throughout the entire electromechanical system dynamics. The control requires full state feedback (i.e. rotor position, velocity, stator currents, and rotor flux). Simulation results are used to evaluate the effectiveness of the proposed controller

Published in:

IEE Proceedings - Electric Power Applications  (Volume:141 ,  Issue: 2 )