Attitude Dynamics Identification of Unmanned Aircraft Vehicle

  • Salman Shaaban Ali (School of Aerospace, Civil and Mechanical Engineering, Australian Defence Force Academy) ;
  • Sreenatha Anavatti G. (School of Aerospace, Civil and Mechanical Engineering, Australian Defence Force Academy) ;
  • Choi, Jin-Young (School of Electrical Engineering, Seoul National University)
  • 발행 : 2006.12.30

초록

The role of Unmanned Aircraft Vehicles(UAVs) has been increasing significantly in both military and civilian operations. Many complex systems, such as UAVs, are difficult to model accurately because they exhibit nonlinearity and show variations with time. Therefore, the control system must address the issues of uncertainty, nonlinearity, and complexity. Hence, identification of the mathematical model is an important process in controller design. In this paper, attitude dynamics identification of UAV is investigated. Using the flight data, nonlinear state space model for attitude dynamics of UAV is derived and verified. Real time simulation results show that the model dynamics match experimental data.

키워드

참고문헌

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