Where to Place a Heavy Payload on a Multirotor UAV for Best Control Performance

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Doodeman, Sander, Palacio, Paula Chanfreut, Torta, Elena, Antunes, Duarte
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917211694694400
author Doodeman, Sander
Palacio, Paula Chanfreut
Torta, Elena
Antunes, Duarte
author_facet Doodeman, Sander
Palacio, Paula Chanfreut
Torta, Elena
Antunes, Duarte
contents This paper studies the impact of rigidly attached heavy payload placement - where the payload mass significantly influences the UAV's dynamics - on the stability and control performance of a multirotor unmanned aerial vehicle (UAV). In particular, we focus on how the position of such a payload relative to the vehicle's Center of Gravity (CoG) affects the stability and control performance at an arbitrary point of interest on the UAV, such as the payload position, and on how this position can be optimized. Our conclusions are based on two key contributions. First, we analyze the stability of the zero-dynamics of a complete nonlinear model of the UAV with payload. We demonstrate that the stability of the zero dynamics depends on the vertical signed distance in the body-fixed frame between the controlled output position and the combined CoG of the UAV with payload. Specifically, positioning the output below the CoG yields unstable zero dynamics, while the linearized zero dynamics are marginally stable when placing it above, indicating reduced sensitivity to input disturbances. Second, we analyze the performance of the linearized UAV model with payload by providing an analytical expression for the H2-norm, from which we can quantify the system's attenuation to white noise input disturbances. We conclude that less control authority leads to a higher optimal position of the controlled output with respect to the CoG for closed-loop white-noise disturbance rejection capabilities, also when the heavy payload is the controlled output. The results are illustrated through numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2601_13958
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Where to Place a Heavy Payload on a Multirotor UAV for Best Control Performance
Doodeman, Sander
Palacio, Paula Chanfreut
Torta, Elena
Antunes, Duarte
Systems and Control
This paper studies the impact of rigidly attached heavy payload placement - where the payload mass significantly influences the UAV's dynamics - on the stability and control performance of a multirotor unmanned aerial vehicle (UAV). In particular, we focus on how the position of such a payload relative to the vehicle's Center of Gravity (CoG) affects the stability and control performance at an arbitrary point of interest on the UAV, such as the payload position, and on how this position can be optimized. Our conclusions are based on two key contributions. First, we analyze the stability of the zero-dynamics of a complete nonlinear model of the UAV with payload. We demonstrate that the stability of the zero dynamics depends on the vertical signed distance in the body-fixed frame between the controlled output position and the combined CoG of the UAV with payload. Specifically, positioning the output below the CoG yields unstable zero dynamics, while the linearized zero dynamics are marginally stable when placing it above, indicating reduced sensitivity to input disturbances. Second, we analyze the performance of the linearized UAV model with payload by providing an analytical expression for the H2-norm, from which we can quantify the system's attenuation to white noise input disturbances. We conclude that less control authority leads to a higher optimal position of the controlled output with respect to the CoG for closed-loop white-noise disturbance rejection capabilities, also when the heavy payload is the controlled output. The results are illustrated through numerical examples.
title Where to Place a Heavy Payload on a Multirotor UAV for Best Control Performance
topic Systems and Control
url https://arxiv.org/abs/2601.13958