Stator resistance identification of induction motor in DTC system based on wavelet network

被引:0
|
作者
Liu, Lin [1 ]
Shen, Songhua [1 ]
Liu, Shengping [1 ]
Liu, Qiang [2 ]
Liao, Wei [3 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
[2] China Univ Mining & Technol, Sch Electron & Informat Engn, Beijing 100083, Peoples R China
[3] Hebei Univ Engn, Sch Grad Educ & Employment, Handan 056038, Peoples R China
关键词
induction motor; direct torque control; stator resistance; wavelet network; dynamic system identification;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 Givens rotation is used to fulfill 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 back-propagation (BP) neural network.
引用
收藏
页码:6411 / +
页数:2
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