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改进的自适应模型算法控制在过热汽温控制中的应用
引用本文:常太华,钟灼均,朱红路.改进的自适应模型算法控制在过热汽温控制中的应用[J].动力工程,2010,30(12).
作者姓名:常太华  钟灼均  朱红路
作者单位:华北电力大学,控制与计算机工程学院,北京,102206
基金项目:国家自然科学基金资助项目(50776030)
摘    要:针对锅炉过热汽温对象具有大惯性、大迟延、时变性等特点,提出一种基于最小均方算法的自适应模型算法控制-比例串级预测控制系统.通过最小均方自适应滤波器在线实时辨识被控对象的预测模型参数,再结合改进的自适应模型算法控制在线修正控制器参数.仿真结果表明:该控制策略实施简单、超调小,控制效果明显优于PID-P串级控制;且在降负荷实验中能有效适应对象参数时变,保证调节性能较好.

关 键 词:过热汽温  LMS算法  模型算法控制  自适应控制

Application of Improved Self-adaptive Algorithm to Superheated Steam Temperature Control
CHANG Tai-hua , ZHONG Zhuo-jun , ZHU Hong-lu.Application of Improved Self-adaptive Algorithm to Superheated Steam Temperature Control[J].Power Engineering,2010,30(12).
Authors:CHANG Tai-hua  ZHONG Zhuo-jun  ZHU Hong-lu
Affiliation:CHANG Tai-hua,ZHONG Zhuo-jun,ZHU Hong-lu(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
Abstract:Aiming at the strong inertia,time-delay and time-dependent characteristics of boiler's superheated steam temperature,a self-adaptive control algorithm(proportional cascade predictive control system) is being proposed based on least mean square model.The parameters of the predictive model are modified according to the parameters from the online real-time identification model and improved self-adaptive control model.Simulation results show that the control strategy is easy to be carried out,with which high co...
Keywords:superheated steam temperature  LMS algorithm  model algorithmic control  self-adaptive(control)  
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