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。
关键词:
迭代学习控制,
同步发电机,
非线性励磁控制,
仿真
Abstract: 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.
中图分类号:
徐敏,林辉. 基于PSB的迭代学习励磁控制的仿真研究[J]. , 2005, 31(20): 22-.
XU Min,LIN Hui. Simulation Research of Iterative Learning in Excitation Control Based on PSB[J]. , 2005, 31(20): 22-.