摘要
对于具有重复运动性质的系统,迭代学习控制是一种行之有效的控制方法。开闭环迭代学习控制能同时利用系统前次运行和当前运行的信息,因而性能优于单纯的开环迭代学习控制。针对线性连续系统,设计了D(Differential)型开闭环迭代学习控制器,利用2-D(Two-Dimensional)系统理论建立系统的2-D连续—离散Roesser模型,并给出了保证控制器收敛的充分必要条件。最后通过一个仿真实例,证明了该方案的有效性。
Iterative Learning Control（ILC） is an effective method for the systems that execute the same task repetitively. Open-closed-loop ILC algorithm can use both the former and current information, so it is superior to the algorithm using only open-loop in performance. A D-type open-closed-loop iterative learning controller was designed for the linear continuous-time system, and a 2-D continuous-discrete Roesser＇s model was built up by using 2-D system theory. The sufficient and necessary conditions guaranteeing the convergence was supplied for the proposed iterative learning control scheme. Simulation results are given to demonstrate the validity of control scheme.
出处
《电光与控制》
北大核心
2010年第1期37-39,60,共4页
Electronics Optics & Control
基金
广西高校百名中青年学科带头人资助计划项目
广西区自然科学基金项目(0640171)
