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 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/740/1/012069 |