Abstract
As Unmanned Aerial Vehicles (UAVs) become more commonly used in industry, their performance will continue to be challenged. A performance bottleneck that is crucial to overcome is the design of electric propulsion systems for UAVs that operate in disparate flight modes (e.g., hovering and forward-moving flight). While flight mode dissimilarity presents a fundamental design challenge for fixed-geometry propulsion systems, variable-geometry systems such as the Variable Pitch Propeller (VPP) ones are able to provide superior propulsion performance across a wide range of flight modes. This work builds on previous work by the authors and presents a VPP system control and estimation framework for safe, nearminimum-electrical-effort propulsion system behavior across the whole operation state space of any UAV. Multiple simulated validations are presented to support the feasibility of the approach.
Original language | English (US) |
---|---|
Title of host publication | 2020 IEEE International Conference on Robotics and Automation, ICRA 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 7470-7476 |
Number of pages | 7 |
ISBN (Electronic) | 9781728173955 |
DOIs | |
State | Published - May 2020 |
Event | 2020 IEEE International Conference on Robotics and Automation, ICRA 2020 - Paris, France Duration: May 31 2020 → Aug 31 2020 |
Publication series
Name | Proceedings - IEEE International Conference on Robotics and Automation |
---|---|
ISSN (Print) | 1050-4729 |
Conference
Conference | 2020 IEEE International Conference on Robotics and Automation, ICRA 2020 |
---|---|
Country/Territory | France |
City | Paris |
Period | 5/31/20 → 8/31/20 |
Bibliographical note
Funding Information:VI. ACKNOWLEDGEMENTS The authors would like to thank all the members of the Center for Distributed Robotics Laboratory for their help. This material is based upon work partially supported by the Corn Growers Association of MN, the Minnesota Robotics Institute (MnRI), Honeywell, and the National Science Foundation through grants CNS-1432957, CNS-1544887, and CNS-1531330. USDA/NIFA has also supported this work through the NRI program.
Publisher Copyright:
© 2020 IEEE.