Title :
An adaptive current control scheme for high-performance AC drives
Author :
Tsai, Ming-Fa ; Tzou, Ying-Yu
Author_Institution :
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In this paper, a self-tuning adaptive current controller for high-performance AC drives is presented. The adaptive current controller, which operates in the stationary two-axis frame to provide the persistently exciting condition for parameter estimation convergence, consists of a one-step-ahead predictive controller and a model estimator. The predictive controller´s parameters are adjusted adaptively on line in terms of estimated model parameters. Estimating the model parameters entails a first-order four-dimensional least-squares estimator with exponential data weighting to detect the variations of the motor parameters and the back EMF. The proposed adaptive control scheme is implemented in parallel by IMS T800-20 transputers. Simulation results show the effectiveness of the proposed adaptive current control scheme
Keywords :
AC motor drives; adaptive control; control system synthesis; electric current control; least squares approximations; machine control; parameter estimation; power engineering computing; predictive control; servomotors; transputer systems; IMS T800-20 transputers; adaptive current control scheme; estimated model parameters; exponential data weighting; first-order four-dimensional least-squares estimator; high-performance AC drives; model estimator; one-step-ahead predictive controller; parameter estimation convergence; persistently exciting condition; proposed adaptive control scheme; self-tuning adaptive current controller; stationary two-axis frame; Adaptive control; Current control; Hysteresis motors; Induction motors; Parameter estimation; Predictive models; Programmable control; Servomotors; Steady-state; Voltage control;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671040