Optimization of Combustion Control System for Regenerative Forging Heating Furnace

In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. Taking the actual PID parameters of reheating furnace in forging works...

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Veröffentlicht in:IOP conference series. Materials Science and Engineering 2020-01, Vol.740 (1), p.12069
Hauptverfasser: Li, Hongtao, Liu, Xiaobo, Ji, Yunguang, Cui, Hongbin, Xue, Shuqi, Liu, Yazhi
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container_start_page 12069
container_title IOP conference series. Materials Science and Engineering
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creator Li, Hongtao
Liu, Xiaobo
Ji, Yunguang
Cui, Hongbin
Xue, Shuqi
Liu, Yazhi
description In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. Taking the actual PID parameters of reheating furnace in forging workshop of a steel plant as reference object, the feasibility of the scheme is simulated by using MATLAB/SIMULINK. The results show that: 1) The control effect of fuzzy PID control is better than that of PID control in overshoot and adjusting time when the gain coefficient is perturbed 30%; 2) The dynamic performance of the system does not change significantly when the time constant is perturbed 20%; 3) The fuzzy PID shows better stability when the lag time is perturbed 20%.
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subjects Combustion control
Controllers
Forging
Fuzzy control
Heat treatment
Heating
Heating furnaces
Iron and steel plants
Lag time
Optimization
Proportional integral derivative
Time constant
title Optimization of Combustion Control System for Regenerative Forging Heating Furnace
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