Dynamic System Emulation: Fixed Wing Dynamics on a Multicopter
Abdelhakim Amer, Andriy Sarabakha · N/A · 2026
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Summary
This work presents a control framework that enables a multicopter equipped with a two-axis gimbal to emulate the flight dynamics of a fixed-wing aircraft.
Abstract Summary
Key Points
- This work presents a control framework that enables a multicopter equipped with a two-axis gimbal to emulate the flight dynamics of a fixed-wing aircraft.
- The goal is to provide an operationally simple platform for training and simulation that avoids the aerodynamic constraints of fixed-wing vehicles, such as minimum airspeed and nonholonomic constraints.
- A state-input mapping between the two platforms is derived using dynamic feedback linearization
- The framework is evaluated on representative fixed-wing manoeuvres
- Results show high-fidelity emulation under nominal conditions
Preliminaries
Quaternions $\mathbf{q}\in\mathbb{H}_{1}$ are scalar-first, their conjugate are $\bar{\mathbf{q}}\in\mathbb{H}_{1}$, and $\mathbf{R}(\mathbf{q})\in SO(3)$ denotes the corresponding rotation matrix. Also, let $\mathcal{F}_{\text{W}}$ be the inertial world frame. Fixed-wing aircraft (in Fig. 1 ) are underactuated dynamic systems. Let $\mathcal{F}_{\text{A}}$ be the aircraft’s body frame.
Camera-Pose Controllability and Mimicry on S E ( 3 ) SE(3)
Assume the fixed-wing carries a camera that is body-aligned and located at a fixed lever arm $\mathbf{t}_{\text{AC}}\in\mathbb{R}^{3}$ expressed in $\mathcal{F}_{\text{A}}$.
Then, the fixed-wing camera pose is We expose (i) a translational “virtual” input $\,\mathbf{a}_{\text{MC}}\in\mathbb{R}^{3}$ realized by the standard $SE(3)$ inner loop (third line of ( 9 )), and (ii) rotational inputs $\dot{\boldsymbol{\Theta}}_{\text{MC}}=\begin{bmatrix}\dot{\phi}_{\text{G}}&\dot{\theta}_{\text{G}}&\dot{\psi}_{\text{M}}\end{bmatrix}^{\top}$ consisting of...
Proposed Method
Given the fixed-wing camera trajectory $\mathbf{y}_{\text{AC}}(t)$ in ( 10 ), we want to compute multicopter and gimbal inputs, such that the multicopter camera pose $\mathbf{y}_{\text{MC}}(t)$ in ( 6 ) satisfies $\mathbf{y}_{\text{MC}}(t)\equiv\mathbf{y}_{\text{AC}}(t)\quad\forall t$. To enable multicopter tracking aggressive manoeuvres, non-linear control techniques must be used.
Dynamic feedback linearization (DFL) could be designed to achieve better convergence and robustness.
Validation Results
To validate the proposed DFL controller for camera-pose mimicry, we simulate a multicopter equipped with a 2-axis gimbal tracking the flight of a Red Bull Edge 540 [ 17 ] aerobatic aircraft. The Edge 540 was selected for its aggressive maneuvering capabilities, providing a challenging test case for the controller.
The multicopter chosen is the Freefly Alta-X platform [ 18 ] , featuring a high thrust-to-weight ratio necessary for tracking high-speed trajectories while maintaining control authority as required by Assumption 2 .
Sources and Demonstrations
Figures are reproduced from Amer et al. See the full paper for experimental details and the project page, when the paper links one, for demonstrations and videos.
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