Attitude Control of a Small Spacecraft via Tube-Based Model Predictive Control

Mammarella, Martina; Lee, Dae Young; Park, Hyeongjun; Capello, Elisa; Dentis, Matteo; Guglieri, Giorgio

doi:10.2514/1.a34394

Cited by 22 publications

(4 citation statements)

References 26 publications

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“…This is a commonly used solution, which is why it will be referred to as ‘classic’ in the following. Some examples in which such a configuration is implemented are References 13–15. Other instances of optimal controllers encompass adaptive controllers, and within this realm, recent studies harness the potential of AI.…”

Section: Introductionmentioning

confidence: 99%

Novel extended Kalman filter + H∞$$ {\mathbf{H}}_{\infty } $$ optimal output feedback control configuration for small satellites with high pointing stability requirements

Pecorilla,

Stesina

2023

Intl J Robust & Nonlinear

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SummaryOne of the most challenging subsystems for the CubeSats is the attitude determination and control system (ADCS) because it involves hardware and software integration, advanced strategies and algorithms to determine and control the attitude that impacts on space maneuvering and well working of a large set of payload (e.g., the optical payload). Although ADCS is largely studied, it still requires further investigations and analysis in order to achieve high‐performance and a reduced efforts. This paper presents an effective and reliable solution for the ADCS of CubeSats involved in Earth observation missions. The solution is based on an innovative framework that leverages the strengths of two distinct methodologies—H‐infinity optimal output feedback control and the extended Kalman filter (EKF)‐to significantly enhance the pointing stability of satellite systems. While H‐infinity optimal output feedback control is traditionally associated with partial state knowledge, we intentionally extend its application to scenarios with complete state information. The study includes a comparative performance analysis involving three algorithm configurations: the classic combination of EKF and model predictive control (MPC), the utilization of H‐infinity optimal output feedback control without EKF, and our proposed integrated approach. Performance evaluations are based on extrinsic indicators, demonstrating the advantages of our method in terms of pointing stability and overall control system performance. This research underscore the significance of combining innovative thinking with well‐established methodologies, unlocking new possibilities for stability enhancement in a range of engineering applications.

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Section: Introductionmentioning

confidence: 99%

Novel extended Kalman filter + H∞$$ {\mathbf{H}}_{\infty } $$ optimal output feedback control configuration for small satellites with high pointing stability requirements

Pecorilla,

Stesina

2023

Intl J Robust & Nonlinear

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“…Model predictive control (MPC) has been successfully applied to various fields from process industry [17,18]. In [19], for the spacecraft with model uncertainties, disturbances, and constraints on actuator torque, velocity and pointing accuracy, an attitude control law was presented through a tube-based MPC algorithm. An adaptive MPC for reference tracking control was proposed in [20] for discrete-time linear systems with parameter uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Integral sliding mode predictive control with disturbance attenuation for discrete‐time systems

2022

IET Control Theory & Appl

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In this paper, the output tracking control is addressed for discrete‐time multi‐input‐multi‐output nonlinear systems subjected to external disturbance by a novel output‐based discrete‐time integral sliding mode predictive control scheme. First of all, a control law is proposed based on a new type of discrete‐time integral sliding mode surfaces. To further improve control accuracy, an integral sliding mode predictive control law is obtained in combination with the designed integral sliding mode control and model predictive control. Rigorous analysis is provided to demonstrate that the quasi‐sliding‐mode band width and ultimate bound of output tracking error under the designed discrete‐time integral sliding mode predictive control law are of higher accuracy than those under the designed integral sliding mode control law. Numerical simulations are performed to illustrate that the presented integral sliding mode predictive control law offers better performance than the proposed integral sliding mode control law.

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“…However, research using tube-based MPC has been limited to orbital maneuvering [19,20,21]. Indeed, of the handful of tube-based MPC applications, only [22] has been applied to not only attitude control but also to a small satellite. Though comprehensive, the methods used in [22] did not consider use of an SMC in the design, leaving room for investigation.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, of the handful of tube-based MPC applications, only [22] has been applied to not only attitude control but also to a small satellite. Though comprehensive, the methods used in [22] did not consider use of an SMC in the design, leaving room for investigation. Another work developed an explicit nonlinear model predictive control (eNMPC) based on an interacting multiple model (IMM) to tolerate actuator faults for a nonlinear spacecraft system [23].…”

Section: Introductionmentioning

confidence: 99%

Tube-Based Model Predictive Control Of Small Satellite Systems With Uncertainty Dynamics

Hill¹,

Biglarbegian²,

Gadsden³

2021

Progress in Canadian Mechanical Engineering. Volume 4

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In this paper, two tube-based model predictive control algorithms were developed using sliding mode control to regulate the attitude of a simulated CubeSat system. Incorporating sliding mode techniques increased the robustness of tube-based model predictive control by minimizing the uncertainty of the system in the presence of a disturbance. The proposed controllers' performances were evaluated against a traditional tube-based approach and measured in terms of root mean squared values on state errors and control efforts. Results indicate the effectiveness of the developed controllers over traditional tube-based methods for attitude control of small satellite systems, successfully extending this approach and opening an avenue for future development.Model predictive control; small satellites; uncertainty dynamics; mathematical modelling I.

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Attitude Control of a Small Spacecraft via Tube-Based Model Predictive Control

Cited by 22 publications

References 26 publications

Novel extended Kalman filter + H∞$$ {\mathbf{H}}_{\infty } $$ optimal output feedback control configuration for small satellites with high pointing stability requirements

Novel extended Kalman filter + H∞$$ {\mathbf{H}}_{\infty } $$ optimal output feedback control configuration for small satellites with high pointing stability requirements

Integral sliding mode predictive control with disturbance attenuation for discrete‐time systems

Tube-Based Model Predictive Control Of Small Satellite Systems With Uncertainty Dynamics

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