Title :
Stator Resistance Identification of Induction Motor in DTC System Based on Wavelet Network
Author :
Liu, Lin ; Shen, Songhua ; Liu, Shengping ; Liu, Qiang ; Liao, Wei
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.
Abstract :
To improve the low-speed dynamic performance of induction motor in direct torque control (DTC), a novel method of stator resistance identification based on wavelet network (WN) is presented. The input nodes of the WN are the stator current error and the change in the stator current error and the output node of the WN is the stator resistance error. The synthesized method of recursive orthogonal least squares algorithm (ROLSA) and improved. The given rotation is used to fulfil the WN structure and parameter identification, and then the accurate stator flux vector and electromagnetic torque are acquired by means of state estimator, optimizing the inverter control strategy. The simulation results show that the proposed method can efficiently reduce the torque ripple and current ripple, superior to the backpropagation (BP) neural network
Keywords :
induction motors; machine control; recursive estimation; state estimation; stators; torque control; wavelet transforms; Givens rotation; backpropagation neural network; current ripple; direct torque control; electromagnetic torque ripple; induction motor; inverter control; parameter identification; recursive orthogonal least squares algorithm; state estimator; stator current error; stator flux vector; stator resistance error; stator resistance identification; wavelet network; Backpropagation; Induction motors; Inverters; Least squares methods; Network synthesis; Neural networks; Parameter estimation; State estimation; Stators; Torque control; Induction motor; direct torque control; dynamic system identification; stator resistance; wavelet network;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714319
