IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method

被引：0

作者：

Kumar A.S. ^{[1
]}

Kumar S.J.N. ^{[2
]}

Gupta S.C. ^{[3
]}

Shrivastava A. ^{[4
]}

Kumar K. ^{[5
]}

Jain R. ^{[6
]}

机构：

[1] Department of Computer Science and Engineering, Graphic Era (Deemed to Be University), Dehradun

[2] School of Computing Science and Engineering, Galgotias University, Delhi NCR, Greater Noida

[3] Department of CSIT, KIET Group of Institutions, Ghaziabad

[4] Lakshmi Narain College of Technology and Science, Madhya Pradesh, Indore

[5] University Institute of Computing, Chandigarh University, Punjab, Chandigarh

[6] Department of Electrical and Computer Engineering, Wollega University, Nekemte

来源：

Scientific Programming | 2022年 / 2022卷

关键词：

D O I：

10.1155/2022/5649363

中图分类号：

学科分类号：

摘要：

In this work, we propose and encourage the sending of an IoT-based domestic systems conditions small scale programmable framework for grid-tie matrix converter that can efficiently be executed with low-control equipment plan with quick execution capacity. The proposed framework for matrix grid-tie converter has been performed based on an adaptive fuzzy sliding technique and furthermore monitors the grid status through an IoT server. The adaptive fuzzy sliding method was connected to the framework, and a unity power factor was fulfilled alongside the wanted sinusoidal input and output results. The proposed AFS-based matrix converter has been validated through simulation using MATLAB software. The control clock signals are generated for the positive and negative clock pulses of the sequence. Here the sinusoidal reference signal is compared with the switching frequency of the triangular carrier frequency. The hardware results were also verified to validate the simulation. When diverged from other standard techniques, the proposed AFS technique has achieved 97.23% efficiency in full load conditions. © 2022 A. Suresh Kumar et al.

引用

共 19 条

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