Share Email Print
cover

Proceedings Paper

Performance improvement of direct torque control system for induction motor in low-speed operation using wavelet network
Author(s): Hua Liu; Wei Liao; Yuguo Wang; Songhua Shen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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 and the determination of wavelet network structure is discussed. The inputs of the WN are the current error and the change in the current error and the output of the WN is the stator resistance error. The improved least squares algorithm (LSA) is used to fulfill the network structure and parameter identification. By the use of wavelet transform that accurately localizes the characteristics of a signal both in the time and frequency domains, the occurring instants of the stator resistance change can be identified by the multi-scale representation of the signal. Once the instants are detected, the accurate stator flux vector and electromagnetic torque are acquired by the parameter estimator, which makes the DTC applicable in the low region, optimizing the inverter control strategy. By detailed comparison between the wavelet and the typical backward-propagation (BP) neural network, the simulation results show that the proposed method can efficiently reduce the torque ripple and current ripple, superior to the BP neural network.

Paper Details

Date Published: 30 October 2006
PDF: 7 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63582S (30 October 2006); doi: 10.1117/12.717997
Show Author Affiliations
Hua Liu, Hebei Univ. of Engineering (China)
Wei Liao, Hebei Univ. of Engineering (China)
North China Electric Power Univ. (China)
Yuguo Wang, Hebei Univ. of Engineering (China)
Songhua Shen, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top