基于自适应神经模糊推理系统的潮流发电水轮机变桨距控制策略  

Adaptive Neuro-fuzzy-inference-based Pitch Control Approach for Tidal Current Turbine

作　　者：赵昊旭 ZHAO Hao-xu(Tianjin Survey and Design Institute for Water Transport Enginccring,Tianjin 300456,China)

机构地区：[1]天津水运工程勘察设计院

出　　处：《水电能源科学》2019年第6期149-152,共4页Water Resources and Power

摘　　要：变桨距水轮机能在低流速下保持最小桨距角实现功率的最大捕获,还可在高流速下通过变桨来实现恒功率输出,减少了过载冲击。通过分析变桨距伺服控制系统,改进了基于自适应神经模糊推理系统的变桨控制方法,实现了更为平滑高效的变桨操作,并在Matlab/Simulink下进行了系统仿真,验证了所提控制方法的有效性。Variable pitch turbine can not only maintain the minimum pitch angle at low flow rate to achieve the maximum power capture,but also achieve the constant power output by changing the paddle at high flow rate to reduce the overload impact.By analyzing the variable pitch servo control system,the variable pitch control method based adaptive neural fuzzy reasoning system is improved,and a smoother and more efficient variable pitch operation is realized.System simulation is carried out under Matlab/Simulink.The effectiveness of the proposed control scheme is verified.

关 键 词：潮流发电 水轮机 变桨距 神经模糊推理系统 自适应控制 

分 类 号：TK733[交通运输工程—轮机工程]