循环流化床锅炉燃料成分在线估计

2022 UKACC 13th International Conference on Control (CONTROL) Pub Date : 2022-04-20 DOI:10.1109/Control55989.2022.9781460

E. Ikonen, Markus Neuvonen, István Selek, Mikko Salo, Mika Liukkonen

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引用次数: 0

摘要

利用炉膛第一性原理仿真模型，研究了基于无气味卡尔曼滤波的电厂燃料输入馏分估计。本文介绍了该方法，并给出了一个大型循环流化床电厂的实验结果。研究结果鼓励机器学习和物理模型在工业过程监控中的融合。

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On-line estimation of circulating fluidized bed boiler fuel composition

Estimation of power plant fuel input fractions based on unscented Kalman filtering using a first principles simulation model of the furnace is considered. The approach is described, together with experimental results using data from a full scale circulating fluidized bed power plant. The results encourage the fusion of machine learning and physical models in monitoring of industrial processes.

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2022 UKACC 13th International Conference on Control (CONTROL)

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