A Neural Network Based Model Predictive Control for Wind Tunnel

被引：0

作者：

Du, Ning ^{[1
]}

Long, XiuHong ^{[1
]}

Zhao, Li ^{[1
]}

机构：

[1] China Aerodynam Res & Dev Ctr, High Speed Aerodynam Inst, Mianyang 621000, Sichuan, Peoples R China

来源：

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年

关键词：

Model predictive control; Neural network; Multivariable; Wind tunnel;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：2340 / 2343

页数：4

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