焦炉加热模糊智能控制研究

Gongfa Li, Jianyi Kong, Guozhang Jiang, Jintang Yang, Hegen Xiong, Yu Hou
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引用次数: 3

摘要

焦炉加热控制采用间歇加热控制与加热气体流量调节相结合的控制原理。提出了一种集两个反馈控制、一个前馈控制和智能控制于一体的焦炉加热智能控制策略和集成模型。根据焦化机理,建立了供热前馈模型,并在模型中提出了炭化指标反馈模型,以控制焦炉的焦化管理。建立了基于线性回归和神经网络的烟道温度软测量模型,实现了烟道温度的反馈控制。根据人工经验和工厂实际情况,生成了模糊规则。结合焦炉的运行情况,计算出适宜的停止加热时间和加热煤气流量。实际运行结果表明,该策略和模型能有效解决大惯性问题,缩短调整时间。因此,该系统满足了实际生产需要,具有很大的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Fuzzy Intelligent Control of Coke oven Heating
The control principle of combining the intermittent heating control with the heating gas flow adjustment was adopted for coke oven heating control. Intelligent control strategy and an integrated model of coke oven heating were proposed, which combined two feedback control, one feedforward control and intelligent control. According to coking mechanism, heating supplied feedforward model was built, and carbonization index feedback model was proposed in the model to control coking management of coke oven. Flue temperature soft measurement model based on linear regression and neural network was built to supply temperature feedback control. According to artificial experience and actual condition in the plant, the fuzzy rules were generated. The proper amount of stopping heating time and heating gas flow were computed taking the operation condition of coke oven into account. Actual run results show that the strategy and model can solve the large inertia effectively and shorten adjustment time. So the system satisfies the actual production needs, and has great practical value.
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