摘要
提出了一种新型迭代学习控制律,对其收敛性进行了严格的数学证明,并将它应用于同步发电机的励磁控制系统。仿真结果表明该方法的有效性,改善了控制器的动态性能,收敛速度得到很大提高,有利于提高电力系统稳定性。
A new type of iterative learning control law is proposed. Its convergence is strictly proved in mathematical way. It is applied to excitation control of synchronous machines. Simulation by MATLAB/SIMULINK in the single machine to infinite system indicates the validity of the controller. Dynamics is greatly improved. The convergence is greatly speeded up, which is in favor of the stability in power system.
出处
《南昌大学学报（理科版）》
CAS
北大核心
2009年第6期603-607,共5页
Journal of Nanchang University(Natural Science)
关键词
迭代学习控制
单机-无穷大系统
非线性励磁控制
收敛性
iterative learning control
single machine to infinite system
excitation control
convergence
