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Intelligent control model and its simulation of flue temperature in coke oven

机译:焦炉烟气温度智能控制模型及其模拟

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摘要

In this paper, one-variable linear regression mathematical model of top of regenerator temperature and flue temperature in machine side is built using the linear regress theory. The parameters of ARX model is determined by identification method of least square method and the mathematical model of flue temperature control is established. Applying the basis cascade control theory, system adopts flue temperature and coal flue gas flow as controlled parameters of host circuit and subsidiary circuit respectively. The compound Fuzzy-PID control strategy is presented combined with the characteristics of temperature system after analyzing the conventional PID control algorithm and fuzzy control algorithm. Using step signal and periodic signal to simulate the conventional PID and compound Fuzzy-PID algorithm, the result has indicated: Compound Fuzzy PID control algorithm combines with the advantages of fuzzy control and PID control algorithm, including fast response speed and strong anti-interference ability. When external conditions change, the fuzzy PID compound control can show the strong adaptability and robustness which effectively improve the stability of the control system.
机译:本文利用线性回归理论建立了蓄热室顶部和烟道温度的一变量线性回归数学模型。通过最小二乘法的辨识方法确定了ARX模型的参数,建立了烟道温度控制的数学模型。应用基础级联控制理论,系统分别采用烟气温度和烟气流量作为主回路和副回路的控制参数。在分析了传统的PID控制算法和模糊控制算法的基础上,结合温度系统的特点,提出了复合Fuzzy-PID控制策略。通过步进信号和周期信号对传统的PID和复合Fuzzy-PID算法进行仿真,结果表明:复合模糊PID控制算法结合了模糊控制和PID控制算法的优点,响应速度快,抗干扰能力强。 。当外部条件变化时,模糊PID复合控制可以表现出较强的适应性和鲁棒性,有效地提高了控制系统的稳定性。

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