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.
Nonlinear modelling of a twin rotor MIMO system using radial basis function networks
2000-01-01
631728 byte
Conference paper
Electronic Resource
English
Nonlinear Modeling of a Twin Rotor MIMO System using Radial Basis Function Networks"
British Library Conference Proceedings | 2000
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