A Neural Network Based Model Predictive Control for Wind Tunnel

摘要：

　　In this study,a neural network(NN)based dynamic Mach number predictive control was proposed for a wind tunnel Match number control system.The proposed method absorbed in advantages both artificial neural network and model predictive control,for control of strong nonlinear,multiple variables,large lagging,and time-varying system.In this approach,the dynamic of wind tunnel is represented by a NN model.Then,this NN-based model was applied to the scheme of an MPC.The experimental results show that the effectiveness and set-point tracking performance of the proposed control system.

关键词： Model predictive control Neural network Multivariable Wind tunnel

作者: Ning Du XiuHong Long Li Zhao

作者单位: High Speed Aerodynamics Institute,China Aerodynamics Research and Development Center,Mianyang,Sichuan 621000,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2340-2343

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）