The Double-Local-Symmetric-Integral Iterative Learning Control for Dynamics in Steady-state Optimization of Large-scale Industrial Processes with Delay
点击次数：
发布时间：2025-04-30
发布时间：2025-04-30
论文名称：The Double-Local-Symmetric-Integral Iterative Learning Control for Dynamics in Steady-state Optimization of Large-scale Industrial Processes with Delay
发表刊物：自动化学报
摘要：In this paper, the weighted leading local-symmetrical-double-integral-type iterative learning control algorithm is studied for dynamics of industrial processes with time delay in steady-state optimizing. Based on desired trajectory and real output dynamical information of control system, the basic iterative learning control algorithm is suggested and its -convergence of algorithm is derived, the interval length of local symmetrical double integral is determined. Digital simulations show that the iterative learning control algorithm can effectively eliminate the influence of the noise on output signal and can remarkably improve the dynamical performance of the control systems in steady-state optimizing, such as can decrease the overshoot, shorten the settling time and speed up the response etc
合写作者：阮小娥, 李换琴, 万百五
卷号：vol.29, no.1
页面范围：125-129
是否译文：否
发表时间：2003-01-12