Nonlinear Modeling of Chaotic Dynamics in a Circulating Fluidized Bed by an Artificial Neural Network

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

YOSHIMITSU NAKAJIMA²  KENTARO OTAWARA¹  RYUJI KIKUCHI²  ATSUSHI TSUTSUMI²  KOJI KURAMOTO² 

[1] Project Department 1, Project Management Division, Kureha Techno Eng. Co.;Department of Chemical System Engineering, The University of Tokyo

关键词: Circulating Fluidized Bed;    Pressure Fluctuation;    Artificial Neural Network;    Chaos Analysis;    Hurst Analysis;   

DOI  :  10.1252/jcej.34.107

来源: Maruzen Company Ltd

【 摘 要 】

References(11)Cited-By(9)In this study, an artificial neural network (ANN) was trained to model dynamic behavior of pressure fluctuations measured in a circulating fluidized bed with a riser having an inner diameter of 0.10 m and a height of 10 m. The ability of the neural network model to approximate the dynamic behavior is examined by comparing time-averaged characteristics, power spectra, and chaotic features of time series measured and generated by the ANN. It is found that dynamic behavior of the original time series is captured well by the ANN, and that the ability of the ANN for generation improves with the number of iterations.

【 授权许可】

Unknown