流化床污泥燃烧器NOx排放的神经控制

2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2013-12-02 DOI:10.1109/ICEEE.2013.6676023

R. Carrasco, E. Sánchez, C. Cadet, S. Carlos-Hernandez

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引用次数: 0

摘要

在本文中，作者提出了一种离散时间神经控制方案来调节流化床污泥燃烧器的氮氧化物(NOx)排放。该方案在不降低燃烧效率的情况下保证了一氧化碳(CO)的调节。为了获得污泥燃烧模型，提出了一种采用扩展卡尔曼滤波(EKF)算法训练的循环高阶神经网络(RHONN)。通过仿真验证了所提神经控制器的性能。

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Neural control for NOx emissions in a fluidized bed sludge combustor

In this paper, the authors propose a discrete-time neural control scheme to regulate nitrogen oxides (NOx) emissions for a fluidized bed sludge combustor. This scheme ensures carbon monoxide (CO) regulation without decreasing combustion efficiency. In order to obtain the sludge combustion model, it is proposed to use a recurrent high order neural network (RHONN) which is trained with an extended Kalman filter (EKF) algorithm. The proposed neural controler performance is illustrated via simulation.

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2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

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