Title :
Online self-tuning controller for induction motor based on generalized minimum variance method
Author :
Yaacob, Sazali ; Mohamed, Faisal A.
Author_Institution :
Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia
Abstract :
The implicit or direct GMV regulator combined with the recursive least squares parameter estimation method was applied to regulate the speed of the induction motor under the influence of load variations. To obtain good tracking and control characteristics, a GMV self-tuning regulator is adopted and a design procedure is developed. The performance of the self-tuning GMV regulator depends a great deal on the specification of weighting polynomials for output, input and the reference point
Keywords :
induction motors; least squares approximations; machine control; polynomials; recursive estimation; self-adjusting systems; tracking; velocity control; control characteristics; direct GMV regulator; generalized minimum variance method; implicit GMV regulator; load variations; online self-tuning controller; recursive least squares parameter estimation method; tracking; weighting polynomials; Adaptive control; Control systems; Induction motors; Least squares approximation; Load management; Optimal control; Parameter estimation; Polynomials; Regulators; Velocity control;
Conference_Titel :
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location :
Chiba
DOI :
10.1109/SICE.1998.742933
