ILC-based Internal Model Control of Superheater Steam Temperature

被引：0
|
作者：
Lu Wei [1 ]
Wang Ming-chun [1 ]
机构：
[1] Southeast Univ, Sch Energy & Environm, Nanjing 210096, Jiangsu, Peoples R China
来源：
THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2 | 2013年 / 732-733卷
关键词：
Superheater Steam Temperature; Internal Model Control; Iterative Learning Control;
D O I：
10.4028/www.scientific.net/AMR.732-733.864
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper proposes a novel Internal Model Control(IMC) method for the control of superheater steam temperature. The IMC is known for good robustness including handling of systems with time delays. While Iterative Learning Control(ILC) is a strategy for dealing with periodic disturbances. By using a combination of IMC and ILC, their individual advantages are used to increase the robustness against modeling uncertainties and handling time as well as decreasing the influence of the periodic disturbances affecting the superheater steam. Some simulation examples are shown to illustrate performance improvements that can be achieved by the new method over the conventional IMC and PID methods.
引用
收藏
页码：864 / 869
页数：6
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