CubeSat Control using SDRE Method during the Orbital Injection Phase based on Thrusters

Accurately managing a CubeSat's orientation during the orbital injection phase is crucial for mission success. Concurrently, signal processing is vital for the CubeSat payload and its subsystems, particularly for the Attitude Control Subsystem (ACS). Typically, a CubeSat begins this phase with excessive angular velocity so that the controller needs to slew the CubeSat into small angle attitudes for normal operation mode. Cold gas thrusters are one method to perform this transition. This work applies an ACS algorithm during the orbital injection phase, of nonlinear dynamics behavior as angular velocities are high and perturbed in nature. Consequently, linear control methods may fail to meet performance and robustness requirements. To address this, we employ the State-Dependent Riccati Equation (SDRE) method, which is applicable to these types of nonlinear systems. The SDRE controller uses cold gas thruster torques to execute large-angle maneuvers, reducing high angular velocities. This study verifies the numerical simulator model, the control algorithm's functionality, and the signal between the controller and actuators, applying a full Monte Carlo perturbation model. Although the ACS algorithm is designed as a continuous-time system, it is now prepared for the next study phase, which involves analyzing discretization techniques and evaluating the sampling rate for the digital version of the SDRE controller.

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Publication Details

Journal
International Journal of Applied Mathematics Computational Science and Systems Engineering
Published
2025-11-06
DOI
https://doi.org/10.37394/232026.2025.7.20
Primary Topic
Spacecraft Design and Technology
Type
article
Field-Weighted Citation Impact
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article

CubeSat Control using SDRE Method during the Orbital Injection Phase based on Thrusters

Alessandro Gerlinger Romero, Luiz Carlos Gadelha de Souza
International Journal of Applied Mathematics Computational Science and Systems Engineering
Spacecraft Design and Technology
article

CubeSat Control using SDRE Method during the Orbital Injection Phase based on Thrusters

Alessandro Gerlinger Romero, Luiz Carlos Gadelha de Souza
article en

Abstract

Accurately managing a CubeSat's orientation during the orbital injection phase is crucial for mission success. Concurrently, signal processing is vital for the CubeSat payload and its subsystems, particularly for the Attitude Control Subsystem (ACS). Typically, a CubeSat begins this phase with excessive angular velocity so that the controller needs to slew the CubeSat into small angle attitudes for normal operation mode. Cold gas thrusters are one method to perform this transition. This work applies an ACS algorithm during the orbital injection phase, of nonlinear dynamics behavior as angular velocities are high and perturbed in nature. Consequently, linear control methods may fail to meet performance and robustness requirements. To address this, we employ the State-Dependent Riccati Equation (SDRE) method, which is applicable to these types of nonlinear systems. The SDRE controller uses cold gas thruster torques to execute large-angle maneuvers, reducing high angular velocities. This study verifies the numerical simulator model, the control algorithm's functionality, and the signal between the controller and actuators, applying a full Monte Carlo perturbation model. Although the ACS algorithm is designed as a continuous-time system, it is now prepared for the next study phase, which involves analyzing discretization techniques and evaluating the sampling rate for the digital version of the SDRE controller.

International Journal of Applied Mathematics Computational Science and Systems EngineeringVol. 7
Centro Universitário FEI (BR), Universidade Federal do ABC (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Openalex Percentile: Top 56%
Spacecraft Design and Technology
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CubeSat Control using SDRE Method during the Orbital Injection Phase based on Thrusters — Alessandro Gerlinger Romero, Luiz Carlos Gadelha de Souza · International Journal of Applied Mathematics Computational Science and Systems Engineering (2025) | TGRS Research Map | TGRS