化工学报 ›› 2022, Vol. 73 ›› Issue (5): 2039-2051.doi: 10.11949/0438-1157.20211646
戚子豪1(),钟文琪1(
),陈曦1,周冠文1,赵小亮2,辛美静2,陈翼2,朱永长2
Zihao QI1(),Wenqi ZHONG1(
),Xi CHEN1,Guanwen ZHOU1,Xiaoliang ZHAO2,Meijing XIN2,Yi CHEN2,Yongchang ZHU2
摘要:
为掌握水泥分解炉运行过程的动态特性,采用机理建模与神经网络相结合的方法构建了水泥分解炉一维特性模型,并结合工业数据对该方法的可行性进行验证。结果表明,模型能够准确地计算炉内温度、气体浓度等参数,具有良好的泛化性能。基于所提出的模型,研究了炉内各状态参数的稳态分布特性。此外,对喷煤量、生料下料量、喷氨量以及高温风机转速等操作变量进行阶跃实验,分析上述操作变量改变时分解炉出口温度及出口NO x 含量的动态响应情况。研究所得相关动态特性规律可以为控制系统的分析、设计和优化提供参考与依据。
中图分类号:
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