Title :
Nonlinear modelling of a twin rotor MIMO system using radial basis function networks
Author :
Ahmad, S.M. ; Shaheed, M.H. ; Chipperfield, A.J. ; Tokhi, M.O.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
Modelling of innovative aircraft such as UAVs, X-wing, tilt body and delta-wing is not easy. This paper presents a 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
Keywords :
MIMO systems; aircraft control; frequency-domain analysis; helicopters; identification; nonlinear control systems; radial basis function networks; time-domain analysis; UAVs; X-wing; delta-wing; frequency-domain model-validation tests; helicopter; nonlinear flight simulation studies; nonlinear modelling; nonlinear system identification method; predictive capability; radial basis function networks; tilt body; time-domain model-validation tests; twin rotor MIMO system; Aerospace simulation; Aircraft; Frequency estimation; Helicopters; Laboratories; MIMO; Nonlinear systems; Predictive models; Testing; Unmanned aerial vehicles;
Conference_Titel :
National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-6262-4
DOI :
10.1109/NAECON.2000.894926
