Advanced UAV Hybrid Simulator Model Based-on Dynamic Real Weather Data

Abstract

In spite of all developed Unmanned Aerial Vehicle (UAV) simulators and all pilot training efforts, UAV crashes still exist. This is because of neglecting the effect of some environmental parameters such as wind turbulence during the UAV simulated training process. In this paper, a new software based simulator for advanced UAV flight training in dynamic real wind turbulence is introduced. The active hybrid architecture is utilized to exploit both VB.NET and MATLAB capabilities in the same simulation loop. A new implementation is introduced to exploit a free global weather forecast service for UAV simulated missions. The proposed simulator model can generate stochastic linear and angular wind velocities by integrating Dryden wind model with the UAV mathematical model based on real weather measurements. Encountering dynamic real weather parameters into the simulator model enhances both mission planning and simulated training procedures. The results show the ability of the proposed simulator to achieve innovative graphical capabilities, to satisfy the required system constraints, to provide realistic turbulence dynamics for the trainee, and to advance trainee experience through challenging real wind turbulence in the simulated training and fulfill the mission goals.

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