Model Parameter Identification of FCC Reaction Regeneration System Based on Affine Bat Algorithm

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Li, Zhe^1 ; Chu, Jizheng^1 ; Chu, Minghui^1 ; Liu, Hongjuan^2

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing

100000, China^1

China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing

100083, China^2

关键词: Actual system;    Affine algorithms;    Bat algorithms;    Industrial fields;    Model parameter identifications;    Noise interference;    Optimal values;    Regeneration system;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052057/pdf
DOI  :  10.1088/1757-899X/569/5/052057

来源: IOP

【 摘 要 】

In real industrial, due to the existence of measurement error, noise interference and other factors, the traditional bat algorithm can not effectively obtain the mathematical model of the actual system. In order to solve this problem, this paper proposes an affine bat algorithm. The bat algorithm is introduced to find the median of the optimal value range of the parameters, and the affine algorithm is used to calculated the value radius of the parameters. In order to make the radius shrinking more flexible, a new interval shrinking strategy was added. Then, the algorithm is applied into the catalytic cracking reaction regeneration system. The effectiveness of the proposed algorithm is verified by comparison with industrial field data.