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Journal of Intelligent & Robotic Systems

, Volume 97, Issue 1, pp 205–225 | Cite as

Control of Multi-Agent Collaborative Fixed-Wing UASs in Unstructured Environment

  • A Ram KimEmail author
  • Shawn Keshmiri
  • Aaron Blevins
  • Daksh Shukla
  • Weizheng Huang
Article
  • 40 Downloads

Abstract

In recent years, the study of dynamics and control of swarming robots and aircraft has been an active research topic. Many multi-agent collaborative control algorithms have been developed and have been validated in simulations, however the technological and logistic complexity involved in validation of these algorithms in actual flight tests has been a major hurdle impeding more frequent and wider applications. This work presents robust navigation algorithms for multi-agent fixed-wing aircraft based on an adaptive moving mesh partial differential equations controlled by the free energy heat flow equation. Guidance, navigation, and control algorithms for control of multi-agent unmanned aerial system (UASs) were validated through actual flight tests, and the robustness of these algorithms were also investigated using different aircraft platforms. The verification and validation flight tests were conducted using two different fixed-wing platforms: A DG808 sail-plane with a 4m wingspan T-tail configuration and a Skyhunter aircraft utilizing a 2.4m wingspan and a twin-boom configuration. The developed swarm navigation algorithm uses a virtual leader guidance scheme and has been implemented and optimized using optimal control theory. Multi-scale moving point guidance has been developed and complimented by a linear quadratic regulator controller. Several flight tests have been successfully conducted and a system of systems including software and hardware was successfully validated and verified.

Keywords

Validation and verification Multi-agent systems Formation flight 

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Notes

Acknowledgements

This work was completed with funding from NASA Learn project #NNX15AN94A and NASA CAN project #NNX15AN04A at the University of Kansas. The authors greatly appreciate this NASA support. In addition, the authors would like to thank our UAS pilot Matt Tener and KUAE undergraduate student Grant Godfrey for all of their support during flight testing operations. The author appreciates the help from Dr. Gonzalo Garcia for building the simulation environment.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Aerospace EngineeringIowa State UniversityAmesUSA
  2. 2.Aerospace EngineeringThe University of KansasLawrenceUSA
  3. 3.Department of MathematicsThe University of KansasLawrenceUSA

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