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论文类型：期刊论文

发表时间：2017-01-01

发表刊物：METALLURGICAL RESEARCH & TECHNOLOGY

收录刊物：Scopus、SCIE、EI

卷号：114

期号：4

ISSN号：2271-3646

关键字：fractal; chaos optimization; hot rolling; prediction control

摘要：The dynamic tracking prediction of the exit strip thickness (EST) has important contribution to solve the problem of low strip thickness accuracy caused by the delay of the monitor AGC in the hot rolling mill. Fractal extrapolation-interpolation method is presented to apply for EST prediction. The key problem to be solved is determining the vertical scaling factors in fractal interpolation prediction, the vertical scaling factor optimization function is established, which is designed by three items containing of the interpolation error, model tracking performance and the constraint condition of the vertical scaling factors in the fractal theory. In addition, chaos optimization algorithm is used to solve the optimal vertical scaling factors. The optimal fractal method is embedded in the traditional monitor AGC, which forms a new prediction control method of EST (denoted as IFEIP-AGC). Compared with traditional monitor AGC and Smith-AGC, the simulation results verify that IFEIP-AGC method has better dynamic tracking performance and robustness.