新型同步发电机励磁控制器的设计

Design of a New Excitation Controller of Synchronous Generator

  • 摘要: 针对传统的基于迭代学习控制算法的同步发电机励磁控制器存在初始控制信号由经验确定的问题,提出了一种基于即时学习型迭代学习控制算法的同步发电机励磁控制器的设计方案。该方案在迭代学习控制算法中引入即时学习算法,利用即时学习算法计算初始控制信号,有效减少了初始控制信号与理想控制信号之间的误差。仿真结果表明,该励磁控制器收敛速度快,具有更强的维持机端电压的能力。

     

    Abstract: In view of the problem that initial control signal is defined by experience in traditional excitation controller of synchronous generator based on iterative learning control algorithm, the paper proposed a design scheme of excitation controller of synchronous generator based on lazy learning type iterative learning control algorithm. The scheme introduces lazy learning algorithm into iterative learning control algorithm and uses lazy learning algorithm to calculate initial control signal, so as to reduce error between initial control signal and the ideal one. The simulation result showed that the controller has quick convergence speed and higher ability of maintaining terminal voltage.

     

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