Minimum Parameters Learning-Based Dynamic Surface Control for Advanced Aircraft at High Angle of Attack

Minimum Parameters Learning-Based Dynamic Surface Control for Advanced Aircraft at High Angle of Attack

Aiming at the difficulty of post-stall maneuvering control modeling and control of advanced aircraft under unsteady aerodynamics, a control method with high control accuracy and fast computation speed is proposed based on Radial Basis Function (RBF) network with minimum parameters learning (MPL) and...

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Bibliographic Details
Main Authors: Jingping Shi, Yongxi Lyu, Yuyan Cao, Huakun Chen, Xiaobo Qu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Flight control
high angle of attack
wind tunnel test
unsteady aerodynamics modeling
MPL-RBF-DSC method
Online Access:https://ieeexplore.ieee.org/document/8824183/

Internet

https://ieeexplore.ieee.org/document/8824183/

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