摘要
通过神经网络系统辨识实现非线性系统的模型预测控制MPC(ModelPredictiveControl),建立了基于神经网络系统辨识的过热汽温模型预测控制系统。仿真结果表明,较之传统的过热汽温串级调节系统,采用该模型预测控制策略的过热汽温控制系统的控制性能有很大的提高。
A strategy to realize model predictive control of nonlinear system by neural network identification is introduced to superheated steam temperature system.The simulative results show that the control performance of the model predictive control system is superior to that of the traditional cascade control system.
出处
《电力自动化设备》
EI
CSCD
北大核心
2004年第2期27-29,共3页
Electric Power Automation Equipment
关键词
神经网络
过热汽温控制
模型预测控制
系统辨识
neural network
superheated steam temperature control
model predictive control
sys - tem identification
