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工业过程稳态优化中一种改进的迭代学习控制
引用本文:何善君,程菲,罗键.工业过程稳态优化中一种改进的迭代学习控制[J].厦门大学学报(自然科学版),2007,46(3):326-330.
作者姓名:何善君  程菲  罗键
作者单位:厦门大学自动化系,福建,厦门,361005
摘    要:为了改善工业过程稳态控制的动态品质,对在重复性控制较为实用的PD型迭代学习控制算法进行改进,引入积分环节,以适应工业过程稳态控制;针对带有噪声的系统输出信号进行滤波,改进局部对称双积分型迭代学习控制算法,提出了基于递归最小二乘法(Recursive Least Squares,RLS)滤波的PID型迭代学习控制算法,以期过滤噪声的高频和低频分量,获得更为理想的系统输出.最后给出了相关的仿真试验结果.

关 键 词:迭代学习控制  稳态优化  PID型  递归最小二乘法  滤波
文章编号:0438-0479(2007)03-0326-05
修稿时间:11 3 2006 12:00AM

An Improved Method for Iterative Learning Control in Industrial Process Steady-state Optimization
HE Shan-jun,CHENG Fei,LUO Jian.An Improved Method for Iterative Learning Control in Industrial Process Steady-state Optimization[J].Journal of Xiamen University(Natural Science),2007,46(3):326-330.
Authors:HE Shan-jun  CHENG Fei  LUO Jian
Institution:Department of Automation,Xiamen University,Xiamen 361005 ,China
Abstract:In order to improve procedure of industrial process steady-state optimization,integral unit was added to PD-type iterative learning controller,which is practical in repeatable control system.Furthermore,an improved PID-type iterative learning control based on RLS adaptive filter was introduced.To do so,high frequency and low frequency of noise were filtered and system output would be more perfect.The numerical simulations showed that all improved algorithms in this paper were necessary and more effective.
Keywords:Matlab
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