电力系统自组织模糊神经网络稳定器

ADAPTIVE FUZZY LOGIC NEURAL NETWORK POWER SYSTEM STABILIZER

本文提出一种自组织模糊神经网络稳定器。首先根据专家经验知识构成稳定器的模糊模型，然后用自组织模糊神经网络来表示这个模型，最后通过自组织误差修正学习来实现模型的自适应过程。仿真试验表明它比普遍模型稳定器性能优且有较好的鲁棒性。

This paper proposes an adaptive fuzzy logic neural network power system stabilizer. The fuzzy model of the stabilizer is first formed by the expert 's experience, and then realized by the fuzzy adaptive neural network, finally the adaption is achieved by the error correction learning. The effectiveness of the proposed stabilizer is proved by computer simulation.