摘要
利用模糊理论和神经网络,设计了在低于额定风速时的神经节距控制器和高于额定风速的模糊节距控制器,将两种控制器结合在一起实现风力发电机组数学模型未知的情况下控制系统可靠运行,并具有主动学习发电机组运行特性的能力。并由理论计算数据在Matlab下仿真计算论证了控制器在实际工业控制系统当中运行的可行性。
Using the neural network and fuzzy theory, we design the neural pitch controller when wind speed is less than rated wind speed and the fuzzy pitch controller when wind speed is higher than rated wind speed. The integration of two controllers can realize the reliable operation of wind power generating system under the conditions of math fuzzy and have the capability of actively learning operation performances of power generating unit. This paper also deduces the feasibility of the controller in practical industrial control system using the simulation calculation in the software of Matlab according to the theoretical calculation data.
出处
《水力发电》
北大核心
2008年第12期100-102,共3页
Water Power
基金
国家高技术研究发展计划基金资助(863计划2001AA512010-1-3)
