Neural networks based estimator for efficiency in VSI to PWM of induction motors drives

被引：0
|
作者：
Rojas Puron, Luis D. [1 ]
Neto, Joao Evangelista [2 ]
Fernandez, Idania Aguilera
机构：
[1] Higher Inst Min & Met, Dept Elect Engn, Moa, Holguin, Cuba
[2] State Univ Amazonas, Dept Mech Engn, Manaus, Amazonas, Brazil
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA) | 2016年
关键词：
Artificial neuronal network (ANN); induction motors; power quality; energy efficiency; TORQUE;
D O I：
暂无
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：
The presence of higher order harmonics causes problems in the quality and efficiency of energy supply by voltages sinusoidal inverters (VSI) to pulse-width-modulated (PWM) of the asynchronous motors drives, widely used in industry. This paper proposes an artificial neural network that identifies the quality of the sine wave and calculates the efficiency of electric drive system according to the index modulation of the sine wave voltage delivered to the electric motor, along with inverters modulated devices semiconductors (IGBTs). Also shown the effect on the efficiency of the operation of the harmonic losses.
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页数：8
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