摘要
针对电厂锅炉的过热汽温系统具有大惯性、大时滞和多模型等特性,研究一种基于预估模型切换的无辨识自适应预估控制方法。该方法需设计一个无辨识自适应预估控制器和基于主蒸汽流量变化率的切换律,给出若干个一阶预估模型。在系统运行过程中,这些预估模型在切换律控制下根据运行工况按优化切换时间自适应地切换,而其中的优化切换时间是用切换系统优化理论计算得到的。仿真试验结果表明,该方法适用于过热汽温系统,具有良好的控制品质、较强的抗扰和自适应能力.且对预估模型的精度要求不高,控制参数容易整定,易于工程实现。
According to the characteristics of boiler superheated steam temperature system m power plant, such as big inertia, long time delay and multiple models, an identification-free adaptive predictive control based on prediction model switchover is developed. An identification-free adaptive predictive controller with several one-order prediction models and its model switchover law are designed based on the change rate of main stream flux. These prediction models are adaptively switched over with optimal switching time according to system operating conditions under the control of switchover law. The optimal switching instants are calculated by the optimization theory of switchover system. Simulation results show the proposed control is suitable for superheated steam temperature systems, with excellent control performance, enhanced disturbance rejection ability and adaptability. The precision of prediction models could be low and the control parameters be easily set.
出处
《电力自动化设备》
EI
CSCD
北大核心
2009年第2期94-97,共4页
Electric Power Automation Equipment
基金
广西科学基金资助项目(桂科自0832067)
supported by the Guangxi Science Foundation(0832067).
关键词
过热汽温
自适应控制
无辨识
预估控制
预估模型
切换系统
优化切换
superheated steam temperature
adaptive control
identification-free
predictive control
prediction model
switched system
optimal switchover
