Artificial Neural Fuzzy Inference System Based Implementation of SVPWM for Current Control of Grid Connected Solar PV System

被引：0

作者：

Roy, Priyam ^{[1
]}

Dash, Ritesh ^{[1
]}

Swain, Sarat Chandra ^{[1
]}

Mohapatra, Pratyusha ^{[1
]}

Sahoo, Satyabrata ^{[1
]}

Singh, Sujata ^{[1
]}

机构：

[1] KIIT Univ, Sch Elect Engn, Bhubaneswar, Orissa, India

来源：

2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT) | 2017年

关键词：

ANFIS; voltage source inverter; PI controller; Fuzzy logic controller (FLC); PREDICTION; OPTIMIZATION; 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：

In this paper, an ANFIS based control system is proposed to control the grid connected inverter and its performance. The aim of this paper is to introduce a non-linear control algorithm based on novel architecture. The ANN involved in the design is trained by collecting datas from the predesigned fuzzy controller. The paper also illustrates the comparative study of various algorithms used in the literature. The architecture of the proposed model is simulated with MATLAB Simulink model as it is globally accepted. Simulation results shows a better performance which when implemented in a real time monitoring system.

引用

页数：5

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