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Satellite ACS Design using SDRE Method for Orbit Injection Phase

- Depending on the objectives of the space mission, after the satellite's separation phase from the launcher, the satellite's angular velocities may need to be increased or decreased. Besides, the precision of controlling the satellite's attitude during this phase is of fundamental importance for the success of the mission. When the satellite starts this phase with high angular velocity the Attitude Control System (ACS) needs to manoeuvre the satellite to its normal mode of operation characterized by an attitude of small angles. One way to achieve this transition between these two modes of operation is through the use of gas jets followed by reaction wheels. In this paper one investigates by simulation the ACS system in order to minimize space mission costs by reducing the number of errors transmitted to the next phase of the satellite prototypes project. Due the satellite high angular velocities its dynamics have nonlinear equations of motion. As a result, application of linear control technique cannot be able to design the ACS with performance and robustness to reach the required level of appointment. In order to mitigate this problem, one applies the State-Dependent Riccati Equation (SDRE) method which can deal with nonlinear system. The SDRE controller design algorithm is based on gas jets and reaction wheel torques to perform large angle manoeuvre in order to reduce the high angular velocities to attitude with small angles. The energy of the system is used as the criterion for the transition between these two modes.  An important result of this investigation is the numerical validation of the simulator model based on the control algorithm designed by the SDRE method. It is planned to test this control algorithm in the National Institute for Space research (INPE) prototype which supplies the conditions for implementing and testing the SDRE ACS in terms of hardware and software.
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Satellite ACS Design using SDRE Method for Orbit Injection Phase

  • DOI: https://doi.org/10.22533/at.ed.9782419116

  • Palavras-chave: Satellite attitude control system, nonlinear dynamics

  • Keywords: Satellite attitude control system, nonlinear dynamics

  • Abstract: - Depending on the objectives of the space mission, after the satellite's separation phase from the launcher, the satellite's angular velocities may need to be increased or decreased. Besides, the precision of controlling the satellite's attitude during this phase is of fundamental importance for the success of the mission. When the satellite starts this phase with high angular velocity the Attitude Control System (ACS) needs to manoeuvre the satellite to its normal mode of operation characterized by an attitude of small angles. One way to achieve this transition between these two modes of operation is through the use of gas jets followed by reaction wheels. In this paper one investigates by simulation the ACS system in order to minimize space mission costs by reducing the number of errors transmitted to the next phase of the satellite prototypes project. Due the satellite high angular velocities its dynamics have nonlinear equations of motion. As a result, application of linear control technique cannot be able to design the ACS with performance and robustness to reach the required level of appointment. In order to mitigate this problem, one applies the State-Dependent Riccati Equation (SDRE) method which can deal with nonlinear system. The SDRE controller design algorithm is based on gas jets and reaction wheel torques to perform large angle manoeuvre in order to reduce the high angular velocities to attitude with small angles. The energy of the system is used as the criterion for the transition between these two modes.  An important result of this investigation is the numerical validation of the simulator model based on the control algorithm designed by the SDRE method. It is planned to test this control algorithm in the National Institute for Space research (INPE) prototype which supplies the conditions for implementing and testing the SDRE ACS in terms of hardware and software

  • Luiz Carlos Gadelha de Souza
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