同步发电机迭代学习励磁控制器的仿真研究  

SIMULATION OF EXCITATION CONTROLLER OF SYNCHRONOUS GENERATOR BASED ON ITERATIVE LEARNING CONTROL LAW

作　　者：徐敏[1] 林辉[1] 

机构地区：[1]西北工业大学自动化控制学院,陕西省西安市710072

出　　处：《电网技术》2005年第12期81-84,共4页Power System Technology

摘　　要：基于迭代学习控制理论提出了一种非线性迭代学习控制律,并将其应用于同步发电机的励磁控制,采用Matlab中的Simulink工具箱对单机?无穷大系统及两机系统进行了仿真研究,结果表明了该控制方法的有效性和通用性,且具有很强的维持机端电压的能力,与常规PID控制器和线性迭代学习控制律相比其收敛速度明显加快,有利于提高电力系统稳定性。Based on iterative learning control theory a nonlinear iterative learning control law is proposed and applied to excitation control of synchronous generator. Using the Simulink toolbox in Matlab the simulation for single machine infinite bus system and that for two-machine system are carried out. Simulation results show that the proposed control method is effective and versatile and the terminal voltage of generator can be maintained on constant value. Compared with traditional PID controller and linear iterative learning control law, the convergence speed of the proposed control law is visibly higher and the stability of power system could be improved by use of this control strategy.

关 键 词：同步发电机 仿真研究 励磁控制器 SIMULINK工具箱 迭代学习控制理论 单机-无穷大系统 电力系统稳定性 Matlab PID控制器 控制方法 机端电压 收敛速度 控制律 非线性 通用性 

分 类 号：TM341[电气工程—电机] TP273[自动化与计算机技术—检测技术与自动化装置]