Self-Learning Fuzzy Algorithm Optimized Temperature Control and Efficiency Monitoring of Heat Exchanger

In this article, through the introduction and analysis of the shell and tube heat exchanger, given the calculation formula, transfer resistance and equation about dynamic characteristics of the exchanger. A self-learning fuzzy algorithm is designed to optimize main temperature controller PID parameters online, did the Matlab simulation and hardware-in-the-loop simulation experiment in the platform of SMPT1000. Achieved on-line temperature control and efficiency monitor of the heat exchanger. Experiments show that the self-learning fuzzy optimization of the heat exchanger temperature control and efficiency monitor, have high temperature control precision, short adjustment time, strong disturbance resistance and high heat transfer efficiency. It solves the problem that the temperature of the heat exchanger is not well controlled and the efficiency is difficult to be effectively monitored.