Artificial Neural Network based Controller for Active Power Line Conditioner

被引：0
|
作者：
Kiran, U. Raja [1 ]
Rao, D. V. [1 ]
Tiwari, Sachin [1 ]
Jain, S. [1 ]
机构：
[1] MANIT, Dept Elect Engn, Bhopal, India
来源：
2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS) | 2014年
关键词：
APLC; ANN; Feedforward network; THD; VSI; COMPENSATION; HARMONICS; FILTER; DESIGN;
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：
Proliferation of non-linear loads resulted in the problems of harmonics, unbalancing, poor power factor. To overcome this active power line conditioner (APLC) is used. In this paper, an artificial neural network (ANN) based controller for active power line conditioner is presented, in which feedforward neural network, trained by levenberg marquardt (LM) algorithm is implemented for generating reference current and pulses to inverter. The simulation results by using MATLAB/SIMULINK of both the conventional and ANN based controller model are discussed. The neutral current has been reduced to maintain system balance.
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页数：6
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