Control Strategy for Energy Storage System Inverter Based on Fuzzy Neural Network Controller

DOI

10.2991/icmmita-15.2015.299How to use a DOI?

Keywords

battery energy storage system; inverter; fractional order control; fuzzy neural network.

Abstract

The traditional PID controller has a shortage of an-interference performance, parameters setting and time-varying control. In order to improve the output-voltage performance of the inverter and robustness of battery energy storage system power supply, this paper put forward a control method based on optimized fuzzy PID controller. Based on expounding the definition and math algorithm of fractional order controller, introduced fuzzy control rules to adjust the parameters of the controller, meanwhile, the method also combined with the self-learning ability of the neural network, adjusted and optimized the controller parameters online by improving the membership function and fuzzy control rules constantly. The simulation results show that the quality of anti-interference and robust of the optimized control system are enhanced, the controller has better construction and dynamic performance, above all, the optimized control methods are feasible for the inverter of battery energy storage system.

Copyright

© 2015, 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  - Bo Fan
AU  - Lei Ni
AU  - Tian-lin Niu
AU  - Jun-li Wang
PY  - 2015/11
DA  - 2015/11
TI  - Control Strategy for Energy Storage System Inverter Based on Fuzzy Neural Network Controller
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1618
EP  - 1623
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.299
DO  - 10.2991/icmmita-15.2015.299
ID  - Fan2015/11
ER  -