SYSTEM IDENTIFICATION OF UNMANNED HELICOPTER.

In this paper, we have developed a dynamic model to replicate the motions a helicopter. Unmanned helicopters have more advantage over manned as they are perfect for performing missions autonomously,which is vital to understand a dynamic model to enable the development of control and state estimation algorithms. This article presents a comprehensive method for identification of a nonlinear model of the unmanned helicopter.The accuracy of the developed model is verified by the comparison between predicted and actual responses from the model and the flight experiments, and between key parameters and the theoretical values. This report describes the process and results of the dynamic modeling of model-scale unmanned helicopter using system identification.