Multirotor electric aerial vehicle model identification with flight data with corrections to physics-based models

Developing standard, well-vetted methods for modeling and simulation, prediction of flying/handling qualities, and control system design is critical for improving safety and quality control of multirotor electric aerial vehicles. This paper explores two methods for modeling the dynamics of a small (...

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Bibliographic Details
Published in:CEAS aeronautical journal 2022-07, Vol.13 (3), p.575-596
Main Authors: Niemiec, Robert, Ivler, Christina, Gandhi, Farhan, Sanders, Frank
Format: Article
Language:English
Subjects:
Accuracy
Aerospace Technology and Astronautics
Control systems design
Controllability
Engineering
Forward flight
Inflow
Modelling
Original Paper
Quality control
System identification
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Summary:Developing standard, well-vetted methods for modeling and simulation, prediction of flying/handling qualities, and control system design is critical for improving safety and quality control of multirotor electric aerial vehicles. This paper explores two methods for modeling the dynamics of a small (56 cm, 1.56 kg) hexacopter at hover and forward flight. The first modeling method was system identification from flight data, the second method was a physics-based blade element model with 10 state Peter-He inflow. Evaluation of the fidelity for both the system-identification and physics-based models was completed by comparison to flight data at hover and forward flight. The results were used to classify the importance of key dynamic building blocks on the model fidelity, such as motor/rotor lag dynamics, inertia, and dynamic inflow.
ISSN:1869-5582
1869-5590
DOI:10.1007/s13272-022-00583-5