Artificial Neural Network Based Speed Control of Carrier-Based SVPWM Inverter Fed Induction Motor

被引：1
|
作者：
Moungsri, Panupan [1 ]
Jewajinda, Yutana [1 ]
Choorak, Chaiwut [1 ]
机构：
[1] Silpakorn Univ, Dept Elect Engn, Fac Engn & Ind Technol, Sanam Chandra Palace Campus, Mueang Nakhon Pathom Dis, Nakhon Pathom, Thailand
来源：
2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021) | 2021年
关键词：
D O I：
10.23919/ICEMS52562.2021.9634260
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an artificial neural network for the indirect field-oriented control technique driving induction motors. Due to nonlinear parameters of the induction motor, the PI speed controller could not be appropriate for varied conditions. The benefit of an artificial neural network was applied to the speed control in the indirect field-oriented control method to generate SVPWM signals. A carrier-based SVPWM can specify the switching frequency of the inverter. The MATLAB/SIMULINK was provided to the simulation with the 3-phase induction motor drive to demonstrate the dynamic performances of the speed control. The results of this model can validate the time response compared to the results of the PI speed control.
引用
收藏
页码：1763 / 1766
页数：4
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