Neuron controller with fuzzy gain scheduling based on Takagi-Sugeno scheme for hydraulic turbine generators

Wei Zhang, Ning Wang, Jili Tao
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Abstract

A neuron model-free control method with fuzzy gain scheduling is presented in this paper. A single neuron is designed to produce control signal in model-free way, and the gain of the neuron controller is tuned by Takagi-Sugeno fuzzy scheme. Simulation tests of a hydraulic turbine generator working under different operating conditions are made. The results show good performance and strong robustness of the proposed method.
基于Takagi-Sugeno方案的水轮发电机模糊增益调度神经元控制器
提出了一种无神经元模型的模糊增益调度控制方法。设计单个神经元以无模型方式产生控制信号,并采用Takagi-Sugeno模糊方案对神经元控制器的增益进行整定。对水轮发电机在不同工况下进行了仿真试验。结果表明,该方法具有良好的性能和较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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