Journal of Robotics, Networking and Artificial Life

Volume 5, Issue 2, September 2018, Pages 97 - 100

Research on SVG Control Method Under Unbalanced Conditions

Authors
Zheng Zhengzhengzh@hpu.edu.cn, Yousong Zhou*, z2410767638@163.com, Guopeng Zhanghpoyz@163.com
School of Electrical Engineering and Automation, Henan Polytechnic University Jiaozuo, 454000, China
Corresponding Author
Available Online 30 September 2018.
DOI
10.2991/jrnal.2018.5.2.5How to use a DOI?
Keywords
SVG; complex filter; steady-state error; proportional complex integral control;
Abstract

In order to reduce the complexity of traditional methods, a PCI (Proportional Complex Integral) controller is adopted to control SVG under unbalance-grid condition, which has better performance than PI controller to eliminate steady-state error to compensate nonlinear loads. Based on the αβ frame, the proposed control scheme considerably reduces total algorithm complexity. The current control loop is designed based on mathematical modeling under unbalanced conditions. Simulation and experimental results are provided to validate the correctness of the proposed methods.

Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
5 - 2
Pages
97 - 100
Publication Date
2018/09/30
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.5.2.5How to use a DOI?
Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Zheng Zheng
AU  - Yousong Zhou
AU  - Guopeng Zhang
PY  - 2018
DA  - 2018/09/30
TI  - Research on SVG Control Method Under Unbalanced Conditions
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 97
EP  - 100
VL  - 5
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.5.2.5
DO  - 10.2991/jrnal.2018.5.2.5
ID  - Zheng2018
ER  -