摘要
pH值控制过程是一个具有较强非线性、纯滞后的过程. 针对pH值控制系统提出了一种基于神经网络的多步预测控制算法(NMPC). 神经网络用于辨识对象的预测模型,控制算法利用了神经网络的梯度信息.
pH neutralization process is a highly nonlinear process with pure time delay. In this paper, a multi step predictive control strategy based neural network model (NMPC) is proposed for pH neutralization process control problems. Neural network is used as plant predictive model and its gradient information is used in NMPC. Real time control test shows that the system has good dynamic and robustness.
出处
《科技通报》
2000年第1期31-36,共6页
Bulletin of Science and Technology
关键词
PH值控制
神经网络
预测控制
中和反应过程
pH neutralization process control
neutral network
predictive control
nonlinear process
robustness
