![]() ![]() They used Aerospace Blockset™ to model their airplane, the environment, and sensors in Simulink before deploying it to a dSPACE real-time machine using the Real-Time Interface. To simulate this autopilot, Claudio and his team employed real-time hardware-in-the-loop simulation techniques using a dSPACE ® real-time machine. His team created S-functions to interface with the different sensors on their aircraft, as well as to encode and decode MAVLink messages to communicate with the autopilot from the ground station before using the code generation capabilities in Simulink to deploy it to a custom-built avionics box consisting of an Arduino ® Due and a Raspberry Pi™ connected over serial. The Sapienza Flight Team competes in AUVSI’s Student Unmanned Aerial Vehicle Competition (SUAS) where teams design autonomous fixed- or rotary-wing aircrafts to perform search and reconnaissance tasks.Ĭlaudio will explain the architecture and control strategy in his custom autopilot before demonstrating how they used Simulink ® to develop the autopilot model. 10.1016/j.engappai.2004.08.To design custom autopilots, Claudio Conti of Sapienza Flight Team at Sapienza University of Rome joins Connell D’Souza of MathWorks to talk about using Model-Based Design to develop a custom autopilot. (2004), Coevolving and cooperating path planner for multiple unmanneed air vehicles, Engineering Applications of Artificial Intelligence, 17, 887-896. (2014), Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system, Automation in Construction, 41, 1-14. (2014), Generation of Bezier Curve-Based Flyable Trajectories for multi-UAV systems with Parallel Genetic Algorithm, Journal of Intelligent and Robotic Systems, 74, 499-511. (2013), A ground control station for a multi-UAV surveillance system, Journal of Intelligent and Robotic Systems, 69, 119-130. Perez D., Maza I., Caballero F., Scarlatti D., Casado E., Ollero A. (2010), Multi-UAV Cooperation and Control for Load Transportation and Deployment, Journal of Intelligent and Robotic Systems, 57, 417-449. Maza I., Kondak K., Bernard M., Ollero A. (2013), Low-cost multi-UAV technologies for contour mapping of nuclear radiation field, Journal of Intelligent and Robotic Systems, 70, 401-410. ![]() Jinlu H., Yaojin X., Long D., YangQuan C. (2010), Multi-UAV simulator utilizing X-Plane, Journal of Intelligent and Robotic Systems, 57, 393-406. ![]() (2013), Adaptive configuration control of multiple UAVs, Control Engineering Practice, 21, 1043-1052. (2013), Ground control station embedded mission planning for UAS, Journal of Intelligent and Robotic Systems, 69, 241-256. Damilano L., Guglieri G., Quagliotti F., Sale I., Lunghi A. (2011), Fuzzy logic based approach to design of autonomous landing system for unmanned aerial vehicles, Journal of Intelligent and Robotic Systems, 61, 239-250. (2013), A multi-UAS cooperative mission over non-segregated civil areas, Journal of Intelligent and Robotic Systems, 70, 275-291. Boccalatte M., Brogi F., Catalfamo F., Maddaluno S., Martino M., Mellano V., Rosazza P. ![]()
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