【作者】 陆冬娜； 杨马英；

【机构】 浙江工业大学信息工程学院；

【摘要】 神经网络具有非线性的拟合特性,因此被广泛地应用于复杂工业过程的控制。DCS 是近几十年发展起来的工业过程控制装置.本文基于 DCS 装置对一液位对象实现了神经网络的预测控制,无论是在稳定性还是鲁棒性上都表现出了良好的控制效果,为先进控制算法在 DCS 系统上的实施提供了一个应用实例.更多还原

【Abstract】 Neural network has been widely used in complicated industry process control due to its nonlinear character. DCS is a kind of industry process control equipment during the last few years.A tank level has been controlled with the neural network predictive control realized at the DCS system,good performance has been achieved both in the stability and the robustness,and a application example has been supplied for the advanced control arithmetic at the DCS system.更多还原