Energy-saving Control Based on Neural Network Inverse Decoupling for Asynchronous Motors

被引：0

作者：

Zhang Dongdong ^{[1
]}

Luo Wenguang ^{[1
]}

Chen Wenhui ^{[1
]}

Xie Rongxian ^{[1
]}

机构：

[1] Guangxi Univ Technol, Dept Elect Informat & Control Engn, Liuzhou, Peoples R China

来源：

2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2010年

关键词：

asynchronous motor; energy-saving; control of neural network inverse decoupling; loss model;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Because the conventional vector control for asynchronous motors is a kind of steady-state decoupling control, decoupling performance and energy-saving effect degrade in the dynamic process of energy-saving control by regulation of excitation and the load sudden changing. To solve the above problems, a novel energy-saving control method is proposed, which combines the neural network inverse decoupling of asynchronous motor control with the optimization strategy based on the loss model. The simulation results show the method has good dynamic energy-saving effect and stronger ability to track the load.

引用

页数：4