Use Genetic Algorithm to Sliding Mode Control of Active Power Filters

DOI

10.2991/ceis-16.2016.13How to use a DOI?

Keywords

sliding mode control; active power filter; genetic algorithm; parameter optimization; robustness

Abstract

In order to improve the defect of active power filter (APF) based on the sliding mode control (SMC), which will be always chattering at high frequencies, we proposed to take genetic algorithm into the optimization of controller parameters. And at the same time, the theoretical basis for the design of the controller is also improved. In this paper, we made a brief introduction of the working principle of three-phase three-wire active power filter and current construction of the sliding mode variable structure controller, which due to a certain amount of error caused by compensating current and reference current. Though the process of the optimization based on genetic algorithm of controller parameters given in details, we got the explicit values of the controller parameters. The simulation for control and optimization of traditional PI sliding mode control shows that the sliding mode control algorithm proposed has fast response speed. It's simple, but has a better jitter-suppression and strong robustness, which is also the aim of optimization.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jian Wang
AU  - Jian-Ping Sheng
AU  - Rui-Qi Gong
AU  - Shi-Yun Jin
AU  - Ye-Hua Xie
PY  - 2016/11
DA  - 2016/11
TI  - Use Genetic Algorithm to Sliding Mode Control of Active Power Filters
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 62
EP  - 67
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.13
DO  - 10.2991/ceis-16.2016.13
ID  - Wang2016/11
ER  -