Design and Simulation of Vacuum Furnace Temperature System Based on Fuzzy Self-Tuning PID Control
As a metallurgical process implemented in environments below conventional atmospheric pressure,vacuum smelting technology aims to optimize the hardness characteristics of metals and their alloys by reducing the risk of oxidation.This technology has shown increasingly broad application prospects in rare metal extraction,special alloy preparation,and high-end steel production.Given the significant lag challenge faced by traditional PID control in temperature regulation of vacuum smelting furnaces,in order to improve the robustness and accuracy of system operation,this paper deeply explores the basic principles of conventional PID control and fuzzy self-tuning PID control,and innovatively introduces the fuzzy self-tuning PID control strategy.A detailed simulation was conducted on the temperature control process of a vacuum smelting furnace using Simulink module and Fuzzy toolbox in MATLAB platform,with a focus on evaluating key performance indicators such as overshoot amplitude and adjustment speed of the temperature control system.The results show that compared with traditional PID control methods,the fuzzy self-tuning PID control scheme designed in this paper exhibits significant advantages in both steady-state maintenance and dynamic response,achieving superior control effects.
vacuum smelting furnacetemperature control systemPID controlfuzzy self-tuning PID controllerMATLAB simulation
万方数据
维普
