摘要
对烧结过程中烧结终点的难以精确控制问题进行研究;针对烧结终点的单一控制,优化研究远不够深入,烧结终点的判断不够准确,文中结合烧结生产具体实际,综合运用烧结理论、现代控制理论等多学科知识,将小波分析、人工智能技术合理运用于工艺实际,结合小波分析提出新的算法来对风箱温度预测建模,仿真结果表明小波分析时间序列算法进一步优化烧结预测能力,有效地抑制了烧结终点的波动,提高烧结终点的计算精度,在生产实践中具有重要的理论意义和实用价值。
Study of the problem that sintering burning through point is not accurate enough. Aiming at the sintering end point single control, optimization is not deep enough, sintering burning through point is not accurate enough, this paper combines the sintering produc- tion actual, comprehensive utilization of sintering theory, modern control theory, wavelet analysis, artificial intelligence technology and rea- sonable applied to practical process, combining wavelet analysis using the new algorithm to the temperature prediction model. Simulation re sults show that wavelet analysis time sequence algorithm further optimize sintering BTP prediction ability, improve the calculation accuracy, in the production practice it has important theory meaning and practical value.
出处
《计算机测量与控制》
北大核心
2013年第1期27-29,38,共4页
Computer Measurement &Control
基金
河北省科学技术研究与发展计划项目(06212174D)
关键词
小波
时间序列
烧结终点
预测模型
wavelet
times series
sintering burning through point
prediction model
