摘要
针对大时滞系统,提出一种高阶模糊内模预测控制算法。通过引入智能因子,被控对象的高阶模糊内部模型可实时预测对象输出,在线修正模型失配,从而克服时滞因素的不利影响。将算法应用于化工间歇造气炉集散控制系统中,现场运行结果验证了算法的实用性。
A predictive control algorithm based on high-order fuzzy internal model, which aimed at systems with dead time, is proposed. By introducing intelligent factor, the high-order fuzzy internal model of controlled plant can forecast output of process in time and modify model uncertainty so as to overcome the disadvantages of dead time. Running results certify its practical values in applying the algorithm to the distributed control systems of coal gasification reactors.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2005年第2期205-210,共6页
Pattern Recognition and Artificial Intelligence
基金
福建省青年科技人才创新资助项目(No.2004J020)
关键词
时滞系统
模糊内模
预测控制
造气炉
Dead-Time Systems
Fuzzy Internal Model
Predictive Control
Coal Gasification Reactors
