Nonlinear dynamic modelling of flexible beam structures using neural networks

This paper investigates the utilisation of back propagation neural networks (NNs) for modelling flexible beam structures in fixed-free mode; a simple representation of an aircraft wing or robot arm. A comparative performance of the NN model and conventional recursive least square scheme, in characterising the system is carried out in the time and frequency domains. Simulated results demonstrate that using NN approach the system is modelled well than with the conventional linear modelling approach. The developed neuro-modelling approach would further be utilized in the design and implementation of suitable controllers, for vibration suppression in such system.