Modelling of Twin Rotor MIMO System (TRMS)

Abstract

Modeling of a complex air vehicle such as a helicopter is very challenging task. This is because of the high non-linearity, significant cross-coupling between its two axes, complex aerodynamics and the inaccessibility of some of its states and outputs for measurements. It is possible to conceive a similar situation in the laboratory with the help of Twin Rotor MIMO System (TRMS).
While development of the analytical model of the TRMS, various components of the system have been modeled individually and then combined. The various responses of the system models have been compared with that of the real time setup.
The project is aimed at devising a model of the non-linear MIMO system by using Neural Networks. This is because of the efficient modeling approach provided by neural networks for highly non-linear systems. The project utilizes Feedback Instruments manufactured TRMS for capturing the Input-Output parameters i.e. control voltage, yaw & pitch angles, rotor current and position. These data are exploited to train the neural network models. This project also compares the efficiency of the two methods of identification.