| 基于自组织模糊神经网络电力系统稳定器的设计 |
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| 引用本文： | 叶其革,王晨皓,吴 捷.基于自组织模糊神经网络电力系统稳定器的设计[J].控制理论与应用,1999,16(5):687-690. |
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| 作者姓名： | 叶其革 王晨皓 吴 捷 |
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| 作者单位： | 广州电力工业局!广州510600(叶其革)，广东省邮电学校!广州510630(王晨皓)，华南理工大学电力学院!广州510640(吴捷) |
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| 摘 要： | 采用一种自组织模糊神经网络设计电力系统稳定器，该稳定器能通过结构和参数的学习，克服传统模糊控制器设计过程吕存在的盲目性及拚养伤性，避免模糊控制器中模糊逻辑规则的冗余成欠缺。仿夫表明该电力系统稳定器具有良好控制性能。
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| 关 键 词： | 自组织 模糊神经网络 电力系统稳定器 模糊控制 |
| 收稿时间： | 1997/12/15 0:00:00 |
| 修稿时间： | 1998/10/6 0:00:00 |
Design of Self-Organizing Power System Stabilizer Based on Fuzzy Neural Network |
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| Ye Qige,Wang Chenhao,Wu Jie.Design of Self-Organizing Power System Stabilizer Based on Fuzzy Neural Network[J].Control Theory & Applications,1999,16(5):687-690. |
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| Authors: | Ye Qige Wang Chenhao Wu Jie |
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| Abstract: | A kind of self organizing fuzzy neural network is applied to design power system stabilizer in the paper.With structure and parameter learning of neural networks,this power system stabilizer could overcome the blindness and exploration existing in designing traditional fuzzy power system stabilizer,avoid surplus and deficiency of fuzzy logic rule in fuzzy controller.The simulation example shows that this power system stabilizer has good control performance. |
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| Keywords: | self organizing fuzzy neural networks power system stabilizer fuzzy controller |
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