Abstract: This study aims to enhance the control and energy efficiency of the central air conditioning system by integrating frequency conversion fuzzy control and advanced control strategies. The focus is on optimizing the motor operation of the central air conditioning system with the help of a frequency converter and improving the system's performance through adaptive control mechanisms, which is an important part of intelligent control. The research adopts frequency conversion fuzzy control for high - power motors in the central air conditioning system, using a pure proportional controller. The system’s response is analyzed, including the rise time (tr = 339.3s) and peak interval (Ts = 633.19s) based on unit step response data. The study also addresses the integration of cooling water heat exchange systems, such as heat pumps and plate heat exchangers, to facilitate energy recycling, achieving the goal of energy saving. System identification is performed using MATLAB’s toolbox for deep well water pump frequency conversion data, forming a basis for further simulation and optimization. The study incorporates a hybrid PID, fuzzy, and neural network - based control strategy to handle the system’s time - varying, nonlinear characteristics. The results indicate that the hybrid control strategy significantly improves the system’s dynamic response. With a rising time of tr = 611s, peak time of tp = 830s, adjustment time (±5%) of ts = 1140s, and an overshoot (Mp) of 16.08%, the system exhibits better performance than conventional PID controllers, particularly in handling large lag and nonlinear behaviors. This work presents an innovative approach by combining frequency conversion fuzzy control with adaptive PID and neural networks for a more efficient air conditioning control system. The integration of cooling water heat recycling and advanced control mechanisms provides a novel solution for enhancing energy efficiency and operational performance in central air conditioning systems, which is highly relevant to energy saving and intelligent control.

Min Dong, Xue Li, Yixuan Yang, Zheng Li and Hui He, “Design of Control System of Water Source Heat Pump Based on Fuzzy PID Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 16(4), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160446

@article{Dong2025,
title = {Design of Control System of Water Source Heat Pump Based on Fuzzy PID Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160446},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160446},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Min Dong and Xue Li and Yixuan Yang and Zheng Li and Hui He}
}