Inverse dynamics control of a steam power plant

A.K. Fameliaris, C. Vournas
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引用次数: 3

Abstract

In this paper an artificial neural net is used to control the boiler of a steam power plant. The proposed controller is using a multi-input, multilayer artificial neural network, trained off-line using the error backpropagation algorithm, over a wide range of operating conditions. The data used during the learning phase are calculated by simulating the drum boiler dynamics. The proposed controller has been tested by simulating its online operation, using a medium size boiler model.<>
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蒸汽动力装置的逆动力学控制
本文采用人工神经网络对某蒸汽电厂锅炉进行控制。所提出的控制器使用多输入、多层人工神经网络,在广泛的操作条件下使用误差反向传播算法进行离线训练。学习阶段的数据是通过模拟汽包锅炉的动力学来计算的。采用中型锅炉模型,对所提出的控制器进行了在线运行仿真。
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