Using the Capabilities of Neural Networks to Adapt the Parameters of PID Regulation in Automatic Control Systems of Low-Power Boilers

机译：利用神经网络的功能来调整低功率锅炉自动控制系统中PID调节的参数

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摘要

In a study, a control scheme with adaptation of the PID controller coefficients based on a neural network (neural network optimizer) was implemented. The neural network optimizer was used as a add-on the PID controller in the control circuit for the blast of a solid fuel boiler with a periodic injection of fuel. As a result of the experiment, it was found that the use of a neural network optimizer can increase the efficiency of the boiler.

机译：在一项研究中，实现了一种基于神经网络（神经网络优化器）的PID控制器系数的控制方案。神经网络优化器被用作控制电路中的PID控制器，用于在具有周期性注入燃料的固体燃料锅炉中的控制电路中的PID控制器。由于实验结果，发现使用神经网络优化器可以提高锅炉的效率。

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《International Multi-Conference on Industrial Engineering and Modern Technologies》|2020年|1-3|共3页
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S.A. Gordin; O.V. Kozlova; I.V. Zaychenko;
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Fuels; Boilers; Combustion; Neural networks; Solids; Control systems; Furnaces;

机译：燃料;锅炉;燃烧;神经网络;固体;控制系统;炉子;

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6. Automatic Regulation of Hemodynamic Variables in Acute Heart Failure by a Multiple Adaptive Predictive Controller Based on Neural Networks [O] . Koji Kashihara -1

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7. Automatic Regulation of Hemodynamic Variables in Acute Heart Failure by a Multiple Adaptive Predictive Controller Based on Neural Networks [O] . 2006

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Using the Capabilities of Neural Networks to Adapt the Parameters of PID Regulation in Automatic Control Systems of Low-Power Boilers

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