上海交通大学学报(自然版) ›› 2017, Vol. 51 ›› Issue (6): 672-678.
孟庆阳1,阎威武1,胡勇1,程建林1,陈世和2,张曦2
出版日期:
2017-06-30
发布日期:
2017-06-30
基金资助:
MENG Qingyang1,YAN Weiwu1,HU Yong1,CHENG Jianlin1,CHEN Shihe2,ZHANG Xi2
Online:
2017-06-30
Published:
2017-06-30
Supported by:
摘要: 针对超超临界机组过热蒸汽系统模型辨识,采用基于数据驱动的闭环子空间辨识方法直接得到系统的阶跃响应系数,结合传统的SISO(Single Input Single Output)辨识方法,并利用最小二乘算法回归出系统的低阶传递函数模型.通过对某电厂超超临界机组过热蒸汽系统进行闭环辨识,结果表明,该策略很好地融合了子空间方法的简便性以及传统SISO辨识方法的最优性,并成功用于超超临界机组过热蒸汽系统模型辨识.
中图分类号:
孟庆阳1,阎威武1,胡勇1,程建林1,陈世和2,张曦2. 基于子空间方法的超超临界机组
过热蒸汽系统模型辨识[J]. 上海交通大学学报(自然版), 2017, 51(6): 672-678.
MENG Qingyang1,YAN Weiwu1,HU Yong1,CHENG Jianlin1,CHEN Shihe2,ZHANG Xi2. Model Identification Based on Subspace Model Identification of
Superheated Steam System in UltraSupercritical CoalFired Power Unit[J]. Journal of Shanghai Jiaotong University, 2017, 51(6): 672-678.
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