Title :
Sensorless vector controller for induction motor drives with parameter identification
Author :
Perng, Shyh-Shing ; Lai, Yen-Shin ; Liu, Chang-Huan
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
31 Aug-4 Sep 1998
Abstract :
A sensorless vector controller for induction motor drives based on the theory of model reference adaptive system (MRAS) has been presented in previous papers, which identifies synchronous speed of motor drives using the error of reactive power as the reference input of adaptation mechanism. Moreover, as shown by the authors in a previous paper (see Proc. European Power Electronics Conf., vol.4, p.480-5, 1997) the MRAS-based synchronous speed identification scheme requires neither rotor time constant nor stator resistance in both adjustable and reference models. However, rotor resistance is still used for the estimation of shaft speed. In this paper, a stator resistance identification scheme based upon MRAS using the error of active power as the reference input of adaptation mechanism and details about the stability of the identification scheme is presented. Moreover, the rotor resistance is adjusted using the variation rate of stator resistance. Simulation and experimental results are presented to confirm the theoretical analysis
Keywords :
angular velocity control; electric resistance; induction motor drives; machine vector control; model reference adaptive control systems; parameter estimation; rotors; stators; active power error; induction motor drives; model reference adaptive system; parameter identification; rotor resistance; sensorless vector controller; shaft speed estimation; stator resistance identification; stator resistance variation; synchronous speed identification scheme; Adaptive control; Adaptive systems; Error correction; Induction motor drives; Motor drives; Power system modeling; Programmable control; Reactive power control; Sensorless control; Stators;
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.1998.724232