Title :
Adaptive tracking control of an induction motor with robustness to parametric uncertainty
Author :
Hu, J. ; Dawson, D.M. ; Qu, Z.
Author_Institution :
School of Electr. & Comput. Eng., Clemson Univ., SC, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
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
Keywords :
adaptive control; control system synthesis; feedback; induction motors; machine control; nonlinear control systems; position control; rotors; stability; stators; velocity control; adaptive tracking control; asymptotic stability; design; electromechanical system dynamics; full state feedback; induction motor; load; nonlinear models; parametric uncertainty; position tracking; robustness; rotor; stator; velocity tracking;
Journal_Title :
Electric Power Applications, IEE Proceedings -
DOI :
10.1049/ip-epa:19949860