摘要
针对常用的插值式数字协联算法在可编程逻辑控制器(PLC)微机调速器上应用的一些缺陷,提出了基于最常见的BP神经网络的数字协联方法。试用表明,该方法理论成熟、实施简单,与插值算法相比存在一定的优势,精度基本满足调速器协联标准要求。
Aiming at the limitations of usual interpolating algorithms applied to PLC hydro turbine governors, a digital cams based on BP neural network is proposed. Trial application shows that the method is more effective than interpolating algorithms often used in hydro turbine governors. It can satisfy the tracking precision of blade prescribed in the specifications of hydro turbine governors
出处
《水电自动化与大坝监测》
2005年第3期54-56,共3页
HYDROPOWER AUTOMATION AND DAM MONITORING
