Research of room temperature for inverter air conditioner based on Fuzzy Neural Network Control

DOI

10.2991/asei-15.2015.202How to use a DOI?

Keywords

Fuzzy control; Neural networks; Inverter air conditioner; Energy saving.

Abstract

The indoor temperature control process in air-conditioned room is a multiple-input multiple-output (MIMO), nonlinear and time-delay system. Whereas the traditional off-on control methods, traditional PID control and conventional fuzzy control, exist some advantages and disadvantages, so this paper has provided the fuzzy neural network control modality to improve the current control approaches. Analysis on the simulation of the model as mentioned above is established, and simulation results show that the fuzzy neural network control has a series of positive qualities such as rapidity, good stability and strong anti-interference, so as to achieve a good temperature regulation in inverter air conditioner rooms.

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  - Xue Xing
AU  - Ge Min
AU  - Zongxiang Weng
AU  - Fengjuan Wang
AU  - Wan Xiang
PY  - 2015/05
DA  - 2015/05
TI  - Research of room temperature for inverter air conditioner based on Fuzzy Neural Network Control
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1032
EP  - 1036
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.202
DO  - 10.2991/asei-15.2015.202
ID  - Xing2015/05
ER  -