The Aluminum Hot Strip Mill Plate Crown Soft Sensor Modeling Based on the ABC-LSSVM
ZHAO Xin-qiu1,2, LIU Zheng-liang1, YANG Jing-ming1,2,CHE Hai-jun1
1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Qinhuangdao, Hebei 066004, China;
2. Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract：The plate crown is an important indicator of the aluminum strip in Aluminum hot strip mill flatness control. In order to accurately predict the aluminum hot strip mill plate crown,a soft sensor model was established on the base of artificial bee colony (ABC) and least squares support vector machine (LSSVM) . ABC was applied to the process of the model parameters optimization because prediction accuracy and generalization ability of LSSVM model depends on the choice of the parameters. The prediction performance of the model was tested by sample data collected at the scene of a factory 1+4 aluminum hot rolling. The model was compared with Marquardt and the LSSVM model whose parameters were optimized by Genetic Algorithms(GA).The simulation result shows that the ABC-LSSVM soft sensor model parameters optimization fast, simple structure and high precision .
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2014, Vol. 35 
