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

TL;DR

This paper investigates how the placement of a heavy payload on a multirotor UAV affects its stability and control performance, providing analytical insights and optimization strategies for payload positioning.

Contribution

It offers a detailed analysis of payload placement effects on UAV zero-dynamics stability and control performance, including an analytical expression for H2-norm for disturbance attenuation.

Findings

Positioning payload below the CoG causes unstable zero dynamics.

Placing payload above the CoG results in marginally stable zero dynamics.

Optimal payload placement depends on control authority and disturbance rejection goals.

Abstract

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.