Comparison of different control methods applied in air conditioning systems
Authors
Hua Jiao, Jingyun Liu, Chunfa Ge
Corresponding Author
Hua Jiao
Available Online December 2015.
- DOI
- 10.2991/nceece-15.2016.121How to use a DOI?
- Keywords
- PID; Fuzzy control; Model predictive control; A/C system; Simulation
- Abstract
This paper used PID, fuzzy and model predictive control methods to control the indoor air temperature and absolute humidity of an A/C system. Simulations were carried out with the three methods in Matlab and the three methods were compared in terms of static and dynamic characteristics. Results showed that, all the three can be used in A/C system control and the static errors were all acceptable. While the model predictive control showed the best control performance.
- Copyright
- © 2016, 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 - Hua Jiao AU - Jingyun Liu AU - Chunfa Ge PY - 2015/12 DA - 2015/12 TI - Comparison of different control methods applied in air conditioning systems BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 652 EP - 656 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.121 DO - 10.2991/nceece-15.2016.121 ID - Jiao2015/12 ER -