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›› 2003, Vol. 3 ›› Issue (1): 0-0.

• 1 •    

气固循环流化床颗粒浓度波动信号的预测

李晓祥, 石炎福, 黄卫星, 余华瑞, 祝京旭   

  1. 1. 四川大学化工学院,四川 成都 610065;2. 西安大略大学化工系,加拿大 伦敦N6A 5B9
  • 出版日期:2003-02-20 发布日期:2003-02-20

Prediction of Solids Holdup Time Series of a Gas–Solid Circulating Fluidized Bed

LI Xiao-xiang, SHI Yan-fu, HUANG Wei-xing, YU Hua-rui, ZHU Jing-xu   

  1. 1. School of Chemical Engineering, Sichuan University, Chengdu, Sichuan 610065, China;2. Dept. of Chem. Eng., Univ. of Western Ontario, London N6A 5B9, Canada
  • Online:2003-02-20 Published:2003-02-20

摘要: 结合重构相空间方法与人工神经网络法,建立了混沌时间序列预测模型. 应用此模型对f100 mm?16 m的上行气固循环流化床系统中的FCC固体颗粒局部颗粒浓度波动信号进行了预测. 结果表明:循环流化床的颗粒浓度波动信号只能被短期预测,其长期行为是不可预测的,这从另一个角度说明气固循环流化床系统是一混沌系统.

关键词: 循环流化床, 颗粒浓度波动, 预测, 重建相空间, 人工神经网络

Abstract: A prediction model based on combination of phase space reconstruction with artificial neural network was proposed. In this model, the Takens phase space reconstruction method is used to reconstruct the attractors, which represent the system hydrodynamics from the single variable time series, and the radial based function artificial neural network is used to fit the attractors in phase spaces. Firstly, the model was verified by the Lorenz chaotic system. Then the model was used to predict the local solids holdup fluctuation in a circulating fluidized bed riser with 16 m height and 0.10 m ID. The experiments were conducted with FCC particles and superficial gas velocity ranging from 3.5~8.2 m/s and the solids circulating fluxes ranging from 50~202 kg/(m2.s). The local solids holdup time series signals were measured at 900 Hz using an optical fiber probe. The results showed that (1) the proposed model based on phase space reconstruction and the artificial neural network is a useful method in predicting local solids holdup fluctuation in gas-solid circulating fluidized beds; (2) the predictability of solids holdup in the CFB is possible only in a short-time, in accordance with that the circulating fluidized bed is a chaotic system.

Key words: circulating fluidized bed, solids holdup fluctuation, prediction, phase space reconstruction

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