Title :
Recursive rotor resistance adaptation algorithm for induction motor control
Author :
Kim, Gyu-Sik ; Kim, Jae-Yoon ; Choi, Ju-Yeop ; Choy, Ick
Author_Institution :
Dept. of Control & Instrum. Eng., Seoul Nat. Univ., South Korea
fDate :
31 Aug-4 Sep 1998
Abstract :
We propose a nonlinear feedback controller that can control the induction motors with high dynamic performance by means of decoupling of motor speed and rotor flux. A new recursive adaptation algorithm for rotor resistance which can be applied to our nonlinear feedback controller is also presented in this paper. Some simulation results show that the adaptation algorithm for rotor resistance is robust against the variation of stator resistance and mutual inductance. In addition, it is computationally simple and has small estimation errors
Keywords :
angular velocity control; electric resistance; feedback; inductance; induction motors; machine control; magnetic flux; magnetic variables control; nonlinear control systems; recursive estimation; rotors; stators; high dynamic performance; induction motor control; motor speed decoupling; mutual inductance; nonlinear feedback controller; recursive adaptation algorithm; recursive rotor resistance adaptation algorithm; rotor flux decoupling; rotor resistance; small estimation errors; stator resistance robustness; Adaptive control; Electric variables control; Estimation error; Inductance; Induction motors; Nonlinear dynamical systems; Rotors; Stators; Torque control; Voltage control;
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
DOI :
10.1109/IECON.1998.724210
