Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

Design of Intelligent Air Conditioning System Based on PID Controller

Authors
Zhengnan Hou1, *
1School of Information Technology, Beijing Institute of Technology, Zhuhai, Zhuhai, China
*Corresponding author. Email: 230104100338@bitzh.edu.cn
Corresponding Author
Zhengnan Hou
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_80How to use a DOI?
Keywords
Intelligent air conditioning system; PID controller; DHT11 sensor
Abstract

Under the dual driving forces of deep penetration in Internet of Things technologies and iterative upgrades in user demands for environmental quality, intelligent temperature control systems have emerged as a critical platform for energy optimization in modern buildings. To address prevalent issues in conventional air conditioning systems including frequent temperature overshooting, insufficient thermal inertia compensation, and excessive invalid energy consumption, this study employs a PID controller as the core control methodology deeply integrated into the control logic of intelligent HVAC systems. An adaptive air conditioning control system was designed and developed based on an incremental PID algorithm. Through the construction of a second-order transfer function and optimization of proportional-integral-derivative parameter combinations using the Ziegler-Nichols tuning method, a compound control strategy with feed-forward compensation functionality was established. The results demonstrate the successful development of an intelligent HVAC system capable of automatically and precisely adjusting operational states according to indoor-outdoor environmental parameter variations. This research reveals that the synergistic interaction between the DHT11 sensor-based data acquisition mechanism and the PID control algorithm effectively resolves the coupled challenges of temperature hysteresis and energy redundancy inherent in traditional HVAC systems. The proposed methodology provides an engineering-transferable technical paradigm for energy efficiency optimization in smart home devices.

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.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_80How to use a DOI?
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  - Zhengnan Hou
PY  - 2025
DA  - 2025/08/31
TI  - Design of Intelligent Air Conditioning System Based on PID Controller
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 832
EP  - 843
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_80
DO  - 10.2991/978-94-6463-821-9_80
ID  - Hou2025
ER  -