Regular Papers
International Journal of Control, Automation and Systems 2006; 4(6): 782-787
© The International Journal of Control, Automation, and Systems
Attitude Dynamics Identification of Unmanned Aircraft Vehicle
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.
Keywords Identification, nonlinear systems, UAV, state space models.
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Regular Papers
International Journal of Control, Automation and Systems 2006; 4(6): 782-787
Published online December 1, 2006
Copyright © The International Journal of Control, Automation, and Systems.
Attitude Dynamics Identification of Unmanned Aircraft Vehicle
Shaaban Ali Salman, Anavatti G. Sreenatha*, and Jin Young Choi
Australian Defence Force Academy, Australia
Abstract
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.
Keywords: Identification, nonlinear systems, UAV, state space models.
Vol. 23, No. 3, pp. 683~972
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