Modeling of the Combustion Optimizing Based on Fuzzy Neural Networks

Fu Hui-lin, Chen Lei, Shen Zhongli, Xie Youcheng
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Abstract

A combustion optimizing model based on fuzzy neural networks is set up, and the optimization of providing coal volume is actualized. At the same time, the simulation model is established by MATLAB. The simulation research is processed. The simulation result indicates: in the stabilization state, if the boiler load, power plant coal character (the distinctness of coal heat glowing volume), combustion supplying air volume or combustion inducing air volume changes, the combustion optimizing model based on fuzzy neural networks can find the optimum value of providing coal volume. This result lays a strong base for optimal control and on-line prediction of the boiler.
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基于模糊神经网络的燃烧优化建模
建立了基于模糊神经网络的燃烧优化模型,实现了供煤量的优化。同时,利用MATLAB建立了仿真模型。进行了仿真研究。仿真结果表明:在稳定状态下,当锅炉负荷、电厂煤特性(煤热发光量的差异性)、燃烧送风量或燃烧诱导风量发生变化时,基于模糊神经网络的燃烧优化模型能够找到最优的供煤量。该结果为锅炉的最优控制和在线预测奠定了坚实的基础。
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