辽宁工程技术大学学报（自然科学版）Issue(6)：802-806,5.DOI:10.3969/j.issn.1008-0562.2013.06.018
采样迭代学习发电机的励磁控制器设计
Excitation controller design for generator based on sampled iterative learning
摘要
Abstract
In order to enhance the transient stability of the power system as well as avoid the requirement for the exact mathematical model of the controlled system and differential operation on error of the terminal voltage, this paper adopted sampled-data iterative learning algorithm, designed an excitation controller of synchronous generator, and provided the convergent condition of norm form of excitation control system. The results of the study suggest that the controller avoids the shortcomings of past PD-type iterative learning control and significantly improve the stabilities of synchronous generator power-angle and terminal voltage. This achievement not only solves the problem of computer realization of iterative learning excitation control in practice, but also maybe become a kind of development trend of the mode of generator excitation control.关键词
电力系统/同步发电机/采样迭代学习控制/励磁控制/发电机功角/机端电压/大干扰/稳定性Key words
power system/synchronous generator/sampled-data iterative learning control/excitation control/generator power-angle/terminal voltage/large disturbance/stability分类
信息技术与安全科学引用本文复制引用
曹伟,孙明,赵丽娜..采样迭代学习发电机的励磁控制器设计[J].辽宁工程技术大学学报（自然科学版）,2013,(6):802-806,5.基金项目
国家自然科学基金资助项目（61100103）；齐齐哈尔大学青年教师科研启动支持计划资助项目（2011k-M01）；黑龙江省教育厅科学技术研究项目 （）
