Home Water Heater Constant Temperature Control Based on Fuzzy PID Control
- DOI
- 10.2991/978-94-6463-821-9_38How to use a DOI?
- Keywords
- Temperature; Fuzzy PID control; Traditional PID Control; Home water heater
- Abstract
In contemporary society, the growing emphasis on quality of life has underscored the importance of a reliable hot water supply. In this paper, we compare the performance of home water heaters controlled by traditional proportion integration differentiation (PID) methods with those controlled by fuzzy PID methods. For home water heaters, it is crucial to minimize heating time while ensuring that the temperature remains stable at the user-defined setpoint after heating. In this study, this paper first establishes a mathematical model of the domestic water heater. MATLAB/Simulink is then used to model and simulate both conventional PID control and fuzzy PID control. It is clear from comparing the simulation results that fuzzy PID control works better than classical PID control in terms of steady-state error, overshoot, and settling time. The temperature can be stabilized and the heating time reduced with fuzzy PID control. Consequently, fuzzy PID control better satisfies the performance requirements of domestic water heaters, making it more suitable for such applications.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yiming Zhang PY - 2025 DA - 2025/08/31 TI - Home Water Heater Constant Temperature Control Based on Fuzzy PID Control BT - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025) PB - Atlantis Press SP - 364 EP - 376 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-821-9_38 DO - 10.2991/978-94-6463-821-9_38 ID - Zhang2025 ER -