![]() Model of linear quadratic regulator (LQR) control method in hovering state of quadcopter. Thesis, Umeå University, Umeå, Sweden.ĭhewa, O. “ Modeling, simulation and control system design for civil unmanned aerial vehicle (UAV), “ M. Measured aerodynamic characteristics of wings at low Reynolds numbers. These parameters comparison results indicate that the model can represent the UX-6 UAV aircraft motion characteristics.Īarenstrup, R. Three model parameters had different characteristics, therefore, need to be improved. The parameters comparison demonstrated that five analytical model parameters have similar characteristics with empirical model parameters. This work observed eight model’s parameters, four in longitudinal modes and four in lateral modes. Both approaches were compared and analyzed in longitudinal and lateral flight modes. Meanwhile, the second model was built empirically based on flight data system identification. First, the UX-6 UAV model was built analytically by using Datcom + Pro software. The objective of the present research was to build The UX-6 fixed-wing UAV flight models with two approaches. Therefore, this modeling method is very important in speeding up parameters tuning of autonomous control systems and also to improve safety. By using the flight model, aircraft motion characteristics could be identified. The flight model plays an important role in the development of the fixed-wing unmanned aerial vehicle (UAV)’s control system.
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