Open AccessOptimization of Combustion Control System for Regenerative Forging Heating Furnace
Author(s) -
Hongtao Li,
Xiaobo Liu,
Yunguang Ji,
Hongbin Cui,
Shengli Xue,
Liu Ya-zhi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012069
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , matlab , forging , temperature control , cascade , constant (computer programming) , controller (irrigation) , combustion , control system , computer science , control engineering , engineering , control (management) , mechanical engineering , chemistry , telecommunications , agronomy , electrical engineering , organic chemistry , artificial intelligence , chemical engineering , biology , programming language , operating system
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%.