ICUAS 2020 Paper Abstract

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Paper FrB4.6

Flanagan, Harold (University of Kansas), Chao, Haiyang (University of Kansas), Chen, YangQuan (University of California, Merced)

Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS

Scheduled for presentation during the Regular Session "Airspace Management" (FrB4), Friday, September 4, 2020, 13:10−13:30, Naousa

2020 International Conference on Unmanned Aircraft Systems (ICUAS), September 1-4, 2020 (Postponed from June 9-12, 2020), Athens, Greece

This information is tentative and subject to change. Compiled on March 29, 2024

Keywords Airspace Control, Reliability of UAS, Micro- and Mini- UAS

Abstract

It is very challenging to develop stable and robust controllers to support Unmanned Aerial System (UAS) flight in turbulent Atmospheric Boundary Layer (ABL). This paper introduces a new fractional order controller for roll tracking of a flying-wing UAS. The proposed factional order proportional derivative (FOPD) controller is compared with the classical PD controller, and both controllers were determined using a genetic algorithm optimization method. The paper also introduces a gentic algorithm cost function that takes into account aircraft stability margins. The FOPD controller performance for turbulence rejection is significantly better than the classical PD controller, while also providing a lower disturbance rejection peak (DRP) value. These results show the usefulness of the FOPD controller over the classical PD controller.

 

 

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