Designing nonlinear model of the Two Rotor Aero-dynamical system using state space neural networks with delays

This paper deals with the application of state space neural network model with delays to design a nonlinear model for a laboratory stand of the Two Rotor Aero-dynamical system as an example of the MIMO (multi input multi output) system. The work presented is the first part of the researches on the design of the nonlinear model predictive control and focuses on obtaining of the best system model. The work describes the methodology of system analysis to obtain the most informative data which can be successfully used in training of the neural network. The system analysis is based on spectral analysis with Fourier´s transform. All data used in experiments is obtain from the realtime laboratory stand which is working in Matlab/Simulink RTW environment.