Research on optimization of heat supply system of heat exchanger station based on fuzzy PID control

This research paper proposes a fuzzy PID control based optimization method for heat exchange station heating system, which aims to solve many challenges faced by the current heating system, such as high energy consumption, uneven heating and slow system response. By introducing fuzzy logic control, the study optimizes the conventional PID control algorithm to increase the system response speed, stability and energy utilization efficiency. This study firstly analyses the working mechanism of the heating system of the heat exchanger station, then constructs the mathematical model of the plate heat exchanger control system, and describes in detail the control rules and structure of the fuzzy control algorithm. Simulation experiments are carried out through MATLAB/Simulink and it is concluded that the control algorithm has significant advantages in terms of improved response speed, enhanced stability and improved energy utilisation efficiency. In conclusion, this thesis not only provides an effective technical way for the improvement of the performance of heat exchange station heating system, but also contributes valuable theoretical and practical experience to the research and development of intelligent heating system.