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Wanjun Miao

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Proceedings Article | 28 June 2023 Paper

Simulation of heat exchanger temperature control based on Smith predictive fuzzy PID

Wanjun Miao, Bing Xu

Proceedings Volume 12720, 127200H (2023) https://doi.org/10.1117/12.2674163

KEYWORDS: Control systems, Temperature control, Fuzzy logic, Mathematical modeling, Device simulation, Data modeling, Quantization, Control systems design, Systems modeling

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Aiming at the characteristics of the long delay, nonlinearity, and large inertia in the heat exchanger temperature control system, combined with an intelligent algorithm and PID control system, a Smith-Fuzzy-PID control system for heat exchanger temperature control is designed. The Smith estimator compensates for the delay time, and the fuzzy PID control is used to speed up the response speed of the system, improve the control accuracy, and reduce the steady-state error. The controller simulation model is built in Simulink, and the simulation comparison is carried out with Fuzzy-PID, Smith-PID, and traditional PID control, and the interference test is carried out at the same time. The results show that Smith-Fuzzy-PID control has a fast response speed, no obvious overshoot of the system, strong robustness, and better improves the performance of the temperature control system to achieve the expected goal.

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