摘要
对于实际工业过程存在重复扰动的情况下,采用了加权闭环PD型迭代学习控制算法,在有限的时间内克服重复扰动,并用MATLAB加以仿真验证了有效性。
The theory of ILC （Iterative Learning Control） has been developed which is a new control theory based on the study of robotic control. Repeated disturbances often happen in industrial process control. This article adopted the weighted PD-type closed-loop Iterative Learning Control to overcome repeated disturbance in limited time. Simulation test by MATLAB proved the validity of the method presented in this paper.
出处
《电力科学与工程》
2008年第1期48-50,共3页
Electric Power Science and Engineering
关键词
迭代学习控制
收敛性
加权闭环PD型
Iterative Learning Control
convergence
the weighted PD-type closed-loop
