Nonlinear modelling of a twin rotor mimo system using radial basis function networks

被引：34

作者：

Ahmad, SM ^{[1
]}

Shaheed, MH ^{[1
]}

Chipperfield, AJ ^{[1
]}

Tokhi, MO ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

PROCEEDINGS OF THE IEEE 2000 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE: ENGINEERING TOMORROW | 2000年

关键词：

helicopter; nonlinear system identification; radial basis function networks; TRMS;

D O I：

10.1109/NAECON.2000.894926

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Modelling of innovative aircraft such as UAV's, X-wing, tilt body, delta-wing is not easy. This paper presents nonlinear system identification method for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory helicopter. Extensive time and frequency-domain model-validation tests are employed to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for nonlinear flight simulation studies. The approach presented is suitable for modelling new generation air vehicles.

引用

页码：313 / 320

页数：8

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