The Neural Networks Augmented Active Wing Load Control System

被引：0

作者：

Xu Cheng ^{[1
]}

Wang Changqing ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China

[2] Electromech Engn Inst, Beijing 100074, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

wing load control; neural network; model inversion; aerodynamics; feedback linearization;

D O I：

10.1109/WCICA.2008.4594452

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper considers the problem of wing load control problems. To stabilize and control the wing load of the aircraft, an active wing load control system is designed. The dynamic model inversion is used as the feedback linearization method of choice. To dispose the model drift and instability of the aerodynamic model, an on line adaptive neural networks is introduced to reconstruct the inversion error. The simulation results show that the active wing load control system is well competent for controlling and stabilizing the wing load, and has a good robustness while the aerodynamics condition is drifting.

引用

页码：1401 / +

页数：2