基于RBF网络的自校正PCC协联控制器的研究

Study on a Self_calibrating PCC Cam Controller Based on RBF Neural Network

提出了一种基于径向基函数 (RBF)网络的具有自校正功能的PCC协联控制器。该协联控制器具有PCC协联数据自寻优过程 ,并通过学习能力、逼近能力较优的RBF网络学习协联数据对协联关系进行拟合、自校正 ,使水轮机始终运行在高效率区 ,同时实现全协联空间的连续取值。

A self_calibrating PCC cam controller based on RBF(Radial Basis Function)network is presented.It can find optimal cam data based on PCC automatically and learn cam data to fit and self_calibrate the cam realtionship between wicket gate and runner blade via RBF network which has better learning and approaching ability,thus to make hydraulic turbine running with peak efficency all the time and realizes the continual cam data acquisition in the whole cam space.