基于无迹卡尔曼滤波预测的锅炉吹灰优化
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  • 英文篇名:Boiler soot blowing optimization based on unscented Kalman filter prediction
  • 作者:王艳婷 ; 史元浩 ; 陈晓龙
  • 英文作者:Wang Yanting;Shi Yuanhao;Chen Xiaolong;School of Electrical and Control Engineering, North University of China;
  • 关键词:清洁因子 ; 无迹卡尔曼滤波 ; 最大传热量 ; 吹灰优化
  • 英文关键词:cleanliness factor;;unscented Kalman filter;;maximum heat transfer;;soot blowing optimization
  • 中文刊名:DZIY
  • 英文刊名:Journal of Electronic Measurement and Instrumentation
  • 机构:中北大学电气与控制工程学院;
  • 出版日期:2019-03-15
  • 出版单位:电子测量与仪器学报
  • 年:2019
  • 期:v.33;No.219
  • 基金:国家自然科学基金(61533013);; 山西省重点研发计划(201703D111011);; 山西省自然科学基金(201801D121159);; 山西省青年自然科学基金(201801D221208);; 中北大学校基金(2016032,2017025)资助项目
  • 语种:中文;
  • 页:DZIY201903007
  • 页数:7
  • CN:03
  • ISSN:11-2488/TN
  • 分类号:57-63
摘要
针对锅炉受热面从清洁到产生积灰和结渣导致锅炉传热效率降低等问题,以清洁因子为监测指标,提出一种基于无迹卡尔曼滤波算法的实时吹灰预测方法。采用双指数函数拟合分析清洁因子退化数据,利用无迹卡尔曼滤波算法对模型参数进行更新,并预测清洁因子未来的变化趋势。同时提出一种基于单位时间传热量最大的吹灰优化模型对吹灰时间进行进一步的优化。以某省煤器的清洁因子数据为例,通过与扩展卡尔曼滤波算法进行比较分析发现,所提方法能够更准确地预测吹灰时间,并进行吹灰优化实例计算,验证了所提优化模型的可行性。
        Aiming at the problems of boiler heating surface from clean to produce ash and slag, the heat transfer efficiency of boiler is reduced. With the cleanliness factor as the monitoring index, a real-time soot blowing prediction method based on unscented Kalman filter algorithm is proposed. The degradation data of cleanliness factor was analyzed by double exponential function fitting, the model parameters were updated by the unscented Kalman filter algorithm and the future trend of the cleanliness factor was predicted. At the same time, a soot blowing optimization model with the largest heat transfer per unit time is proposed to further optimize the soot blowing time. Taking the cleanliness factor data of a economizer as an example, by comparing with the extended Kalman filter algorithm, it is found that the proposed method can predict the soot blowing time more accurately. The calculation of the soot blowing optimization example is carried out to verify the feasibility of the proposed optimization model.
引文
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