Higher-Order System Identification and Control Design for a Coaxial Rotorcraft

The edm aerotec CoAX 600 rotorcraft was converted to an uncrewed aerial vehicle at the Technical University of Munich. In this work, a higher-order physics-based model of the system was identified based on flight test data and blade element momentum theory (BEMT). The paper describes the higher-order model structure and the system identification techniques used in the process. The validated model was used for control design and pilot training purposes. The simulation model consists of a physics-based model structure developed by coupling a dynamic rotor model with a rigid-body fuselage. Aerodynamic models for both the fuselage and the coaxial rotors contain unknown parameters that were estimated based on flight test data using a Maximum-Likelihood parameter estimation method in the time domain. The nonlinear model was linearized in hover, and the linearized model was used for control design and stability analysis. The design and validation of the flight controller are also discussed in the paper. The physics-based model allows for the comprehensive interpretation of the estimated parameters and the involved aerodynamic phenomena. Furthermore, it reduces the number of parameters estimated from flight data.

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Publication Details

Journal
Journal of Aircraft
Published
2025-04-15
DOI
https://doi.org/10.2514/1.c038157
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
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article

Higher-Order System Identification and Control Design for a Coaxial Rotorcraft

Juergen Rauleder, Jared A. Grauer, Florian Holzapfel, Barzin Hosseini
Journal of Aircraft
Aerospace and Aviation Technology
article

Higher-Order System Identification and Control Design for a Coaxial Rotorcraft

Juergen Rauleder, Jared A. Grauer, Florian Holzapfel, Barzin Hosseini
article en

Abstract

The edm aerotec CoAX 600 rotorcraft was converted to an uncrewed aerial vehicle at the Technical University of Munich. In this work, a higher-order physics-based model of the system was identified based on flight test data and blade element momentum theory (BEMT). The paper describes the higher-order model structure and the system identification techniques used in the process. The validated model was used for control design and pilot training purposes. The simulation model consists of a physics-based model structure developed by coupling a dynamic rotor model with a rigid-body fuselage. Aerodynamic models for both the fuselage and the coaxial rotors contain unknown parameters that were estimated based on flight test data using a Maximum-Likelihood parameter estimation method in the time domain. The nonlinear model was linearized in hover, and the linearized model was used for control design and stability analysis. The design and validation of the flight controller are also discussed in the paper. The physics-based model allows for the comprehensive interpretation of the estimated parameters and the involved aerodynamic phenomena. Furthermore, it reduces the number of parameters estimated from flight data.

Journal of AircraftVol. 62(5)
Georgia Institute of Technology (US), Langley Research Center (US), Technical University of Munich (DE)
Openalex Percentile: Top 90%
Aerospace and Aviation Technology
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Higher-Order System Identification and Control Design for a Coaxial Rotorcraft — Juergen Rauleder, Jared A. Grauer, et al. · Journal of Aircraft (2025) | TGRS Research Map | TGRS