![]() For a medium endurance Rascal-110 unmanned aerial vehicle (UAV), Simulink is interfaced with FlightGear and with QGroundControl using the MAVlink protocol, which allows to accurately follow the lateral UAV path on a map, and this setup is used to evaluate the validity of Matlab-based six degrees of freedom UAV models. In the case of a Cessna-172 general aviation aircraft, a Simulink co-simulation with Xplane demonstrates successful virtual flight tests with accurate simultaneous tracking of altitude and speed reference changes while maintaining roll stability under arbitrary wind co nditions that present challenges in the single propeller Cessna. All three co-simulations employ a real-time user datagram protocol (UDP) for data com- munication, and each approach has advantages depending on the aircraft type. We, there- fore, demonstrate our own step-by-step co-simulation implementations using Simulink with three different flight simulators: Xplane, FlightGear, and Alphalink’s virtual flight test environment (VFTE). There is, however, a lack of sufficiently detailed step-by-step flight co-simulation tutorials, and there have also been few attempts to evaluate more than one flight co-simulation approach at a time. This approach can then be used t o validate aircraft models, control algorithms, handle flight characteristics, or perform model identification from flight data. ![]() This c o-simulation approach allows combining the strengths of Matlab toolboxes for functions including navigation, control, and sensor modeling with the advanced simulation and scene rendering capabilities of ded- icated flight simulation software. ![]() The paper starts by reviewing and comparing the most popular personal computer-based flight simula- tors that have been successfully interfaced to date with the MathWorks software. Flight testing in a realistic three-dimensional virtual environment is increasingly being considered a safe and cost-effective way of evaluating aircraft models and their co ntrol systems.
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