摘要
针对钢铁炉温不确定时滞系统,将免疫反馈控制与Smith预估控制结合而提出了一种Smith免疫预测控制方法。利用克隆选择实现滚动优化避免了求Diophantine方程及逆矩阵,不需要复杂的推导,可以在线调整Smith预估器的时滞时间常数和对扰动进行补偿,消除传统Smith预估对模型的依赖。通过实验仿真表明了该方法的有效性,并对外部干扰及系统建模误差具有很好的适应性,将该方法应用于钢铁高炉炉温控制过程,取得较好的控制效果。
Concerning the uncertainty of pure time delay system with disturbance such as steel temperature control, an evolutionary computation way based on immune feedback control was applied to Smith predictor. The way was based on the autoregressive moving average model and rolling horizon optimization by using immune clone selection, which avoided solving the Diophantine equations. It can adjust time-delay automatically and conduct a feed-forward compensation to optimize feedback error. The simulation result shows the effectiveness of the method, and shows it has a very good adaptability for interference and system modeling error. The application to steel temperature control has illustrated its excellent control effect.
出处
《计算机应用》
CSCD
北大核心
2012年第10期2956-2959,共4页
journal of Computer Applications
基金
国家社会科学基金资助项目(12BJY055)
教育部人文社会科学研究青年项目(12YJCZH233)
湖南省科技计划重点项目(2011SK2017)
湖南省科技计划项目(2011GK3175)
湖南省社会科学基金资助项目(11YBB25)
湖南省自然科学基金资助项目(12JJ4065)
湖南省重点学科建设资助项目
关键词
Smith控制
人工免疫
预测控制
时滞系统
反馈控制
Smith control
artificial immune
predictive control
time-delay system
feedback control
