Improvement of the Heat Exchanger Device Based on Advanced Control Algorithms

Heat exchangers are vital for industrial heat transfer and recovery. But traditional ones face problems in complex working conditions, with insufficient control accuracy to meet modern industry's high - efficiency and energy - saving needs. This research focuses on optimizing heat exchanger performance using advanced control algorithms. First, it comprehensively analyzes the heat exchanger's working principle, structure, and existing control strategies, highlighting the limitations of traditional control methods. Considering the heat exchanger's non - linear, time - varying, and large - lag features, algorithms like MPC, fuzzy control, and neural network control are chosen for theoretical study. Mathematical and simulation models are built, and MATLAB is used for simulation and comparison. Advanced control algorithms are applied to real - world heat exchanger devices, and an experimental platform is set up for on - site tests. The results show that these advanced algorithms remarkably enhance the heat exchanger's control performance, providing a practical way for its application optimization.