Research on online identification of the stator resistance using wavelet neural network

被引：1

作者：

Cao, CZ ^{[1
]}

Lu, MP ^{[1
]}

Zhang, QD ^{[1
]}

Zhang, YC ^{[1
]}

机构：

[1] Shenyang Univ Technol, Dept Informat & Engn, Shenyang 110023, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

direct torque control(DTC); nonlinear; time-varying; wavelet neural network;

D O I：

10.1109/ICMLC.2004.1378560

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The change of the stator resistance in induction motor will greatly affect the performances of direct torque control (DTC) system run at low speeds. It is hard to form an accurate math model, for the change of the resistance value is nonlinear and time varying. According to the terminal temperature of winding and the temperature variation, so this paper presents a wavelet neural network used as resistance on-line identification. After trained with recursion arithmetic, the network was used to measure the resistance. The results show this identifier can precisely measure the value of resistance and efficiently improve the low-speed performances of DTC system.

引用

页码：3073 / 3077

页数：5