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Gate-position and Turbine-generator Unit Speed Signal Approximation with Fuzzy Clustering for TS Fuzzy Model

机译:TS模糊模型模糊聚类的栅极位置和涡轮发电机单元速度信号逼近

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Takagi-Sugeno (TS) type of fuzzy models for data-driven set has attracted a great deal of attention of the fuzzy modeling community due to its satisfactory performance in various applications. In this paper, an application of TS model is described to obtain approximated input-output response of turbine-generator unit in a hydro power plant operating as an isolated system. The rule-base is generated independently each for input and output response using fuzzy c-mean (FCM) and Gustafson-Kessel (GK) algorithms with antecedents determined using product space. The model simulations are demonstrated for 50% decrease and 10% increase in load disturbance from rated conditions.
机译:Takagi-Sugeno(TS)用于数据驱动集的模糊模型的模糊模型引起了模糊建模社区的大量关注,由于其各种应用中的令人满意的性能。本文描述了TS模型的应用,以获得作为隔离系统操作的水力发电设备中涡轮发电机单元的近似输入输出响应。使用模糊C均值(FCM)和Gustafson-kessel(GK)算法独立地生成,每个用于输入和输出响应,并使用使用产品空间确定的防挡板。模型模拟分析50%降低,额定条件的负载干扰增加10%。

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