Excitation controller design based on iterative learning control

被引：0
|
作者：
Northwestern Polytechnic University, Xi'an 710072, China [1 ]
机构：
来源：
Dianli Zidonghua Shebei Electr. Power Autom. Equip. | 2006年 / 3卷 / 69-72期
关键词：
Computer simulation - Electric excitation - Iterative methods - Least squares approximations - Robustness (control systems);
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摘要：
A method to design the excitation controller of single-machine infinite-bus system is proposed based on iterative learning control theory, which removes the restriction of perfect tracking in limited time span. It takes the memory and modification of expected control ud(t) instead of output control u(t), and fits the controller parameters by using the least square method. The control law can be obtained by making minimal the difference between set control and expected control. An excitation control system for generator is simulated with Matlab. Results show its good dynamic performance and strong robusticity.
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