Research of room temperature for inverter air conditioner based on Fuzzy Neural Network Control
Authors
Xue Xing, Ge Min, Zongxiang Weng, Fengjuan Wang, Wan Xiang
Corresponding Author
Xue Xing
Available Online May 2015.
- 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/).
Cite this article
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 -