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Researchers take flight with unmanned aerial vehicles

November 07, 2019

Unmanned aerial vehicles (UAVs) are getting smarter with the help of an international team of researchers. They developed a way for multiple UAVS to fall into formation while still automatically controlling their own flight needs, just like the drones used by the villain portrayed by Jake Gyllenhaal in the 2019 Spiderman movie.

They published their results in IEEE/CAA Journal of Automatica Sinica, a joint publication of IEEE and the Chinese Association of Automation.

UAVs have long been studied for potential use in military or commercial applications because they are so energy efficient while still carrying relatively large payloads.

"The holy grail of such research is to have formations of UAVs that are able to complete missions autonomously with little supervision for the human operator," said Simone Baldi, paper author and professor at the School of Mathematics at Southeast University. Baldi is also an assistant professor with the Delft Center for Systems and Control.

In this paper, Baldi and his team use a technique called "software-in-the-loop." This allows for direct testing of the UAV with the autopilot software already onboard the UAV. By this direct testing, the researchers will be able to move quicker from the testing stage to real flights.

The researchers set up realistic simulation environments for UAVs equipped with adaptive controllers to simulate flight under varying environmental conditions. The adaptive controllers can help the UAVs learn their environment, as well as adapt when conditions change.

"UAVs equipped with adaptive controllers are expected to optimize their flight operation and adapt to environmental changes, such as different loads, faults or wind currents," Baldi said.

Next, the researchers plan to conduct real flights for teams of UAVs. According to Baldi, very few companies and institutes across the world are capable of conducting reliable flights with formations of UAVs.

"We built a simulation environment that is able to learn and adapt to the characteristics of each UAV," Baldi said. "The aim is to test not only a single UAV but teams of UAVs, each with different features."
-end-
Other contributors include Jun Yang of the Systems Engineering Research Institute at the China State Ship-building Corporation; Ximan Wang and Satish Singh, both of the Delft Center for Systems and Control; and Stefano Fari of the German Aerospace Center, at the Institute of Space Systems. Fari also has affiliations with the Delft Center for Systems and Control and the Politecnico di Milano.

This work was supported by the Fundamental Research Funds for the Central Universities, the Special Guiding Funds for Double First-Class and the Delft Center for Systems and Control.

Fulltext of the paper is available:

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911702

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8823581

IEEE/CAA Journal of Automatica Sinica aims to publish high-quality, high-interest, far-reaching research achievements globally, and provide an international forum for the presentation of original ideas and recent results related to all aspects of automation. Researchers (including globally highly cited scholars) from institutions all over the world, such as MIT, Yale University, Stanford University, University of Cambridge, Princeton University, select to share their research with a large audience through JAS.

We are pleased to announce IEEE/CAA Journal of Automatica Sinica's latest CiteScore is 5.31, ranked among top 9% (22/232) in the category of "Control and Systems Engineering", and top 10% (27/269, 20/189) both in the categories of "Information System" and "Artificial Intelligence". JAS has been in the 1st quantile (Q1) in all three categories it belongs to.

Why publish with us: Fast and high quality peer review; Simple and effective online submission system; Widest possible global dissemination of your research; Indexed by IEEE, ESCI, EI, Scopus, Inspec. JAS papers can be found at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6570654 or http://www.ieee-jas.org

Chinese Association of Automation

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