摘要
基于迭代学习控制理论提出了一种非线性迭代学习律,并将它应用于同步发电机的励磁控制中,采用SIMULINK/PSB软件对单机-无穷大系统进行仿真,结果表明该方法的有效性和一般性,改善了控制性能、具有很强的维持机端电压的能力,与常规的PID控制器和线性迭代学习律相比较,收敛速度得到很大提高,有利于提高电力系统稳定性。
A nonlinear learning law is proposed based on iterative learning control theory, which is applied to excitation control of synchronous generator. Its convergence is improved. It is simulated by MATLAB/SIMULINK in the single-infinite and two machines systems, which indicates the validity and universality of the method. Performance is greatly improved. The strong ability for supporting the terminal voltage of synchronous generator is obtained. The convergence is speed up comparing with the usual PIDcontroller and linear iterative learning controller ,which is in favor of the stability in power system.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第20期13-15,21,共4页
Computer Engineering
基金
航空基金资助项目(04F53036)
关键词
迭代学习控制
同步发电机
非线性励磁控制
仿真
Iterative learning control
Synchronous generator
Nonlinear excitation control
Simulation
