摘要
通过对开环迭代学习控制的不足进行分析,提出了基于当前输出误差的闭环P型迭代学习控制律,针对一般非线性离散系统,给出了学习控制的收敛条件。仿真结果表明,简单的闭环P型迭代学习控制即能使非线性系统实现对期望轨线的无差跟踪。
Based on the analyses of deficiency of open-loop iterative learning controller, a closed-loop P-type iterative learning controller which based on current output error is proposed. Its convergence condition is given according to the general nonlinear discrete system. Simulation results show that a simple controller can track arbitrary desired trajectory without error.
出处
《系统仿真学报》
CAS
CSCD
2001年第1期73-74,109,共3页
Journal of System Simulation
关键词
迭代学习控制
收敛性
非线性离散系统
数学模型
learning control;iterative learning control;nonlinear system;convergence