TS模糊模型的门位置和汽轮发电机组转速信号模糊聚类逼近

Nand Kishor, S. P. Singh, A. S. Raghuvanshi, P. Sharma
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引用次数: 0

摘要

Takagi-Sugeno (TS)型数据驱动集模糊模型由于在各种应用中具有令人满意的性能而受到模糊建模界的广泛关注。本文描述了TS模型在作为孤立系统运行的水电厂中汽轮发电机组输入输出近似响应的应用。使用模糊c均值(FCM)和Gustafson-Kessel (GK)算法独立生成输入和输出响应的规则库,使用积空间确定前因。模型仿真结果表明,与额定工况相比,负载扰动减小50%,增大10%
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Gate-position and Turbine-generator Unit Speed Signal Approximation with Fuzzy Clustering for TS Fuzzy Model
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
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