A review of balancing methods for satellite simulators

Silva, Rodrigo Cardoso da; Borges, Renato Alves; Battistini, Simone; Cappelletti, Chantal

doi:10.1016/j.actaastro.2021.05.037

Cited by 13 publications

(5 citation statements)

References 28 publications

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“…Moreover, when employing off-the-shelf devices, it is not always possible to obtain high-fidelity CAD models from the manufacturers. More sophisticated strategies involve a set of moving masses and balancing algorithms that are able to compensate the CoG-to-CoR offset ( [11][12][13]) for a range of platform configurations. Techniques empoyed as building block for such algorithms include, but are not limited to, batch observation [9,14], Kalman filtering [14], and closed-loop control of the actuated masses [13].…”

Section: Static Unbalancementioning

confidence: 99%

“…Indeed, as spacecraft move around in space, the magnetic field vector experienced change, while it is constant on Earth on the timescales associated to the simulations. For this reason, and in order to enable higher simulation fidelity for any kind of orbits, magnetic-field-generating devices such as Helmoltz cages have traditionally been associated with the employment of air-bearing platforms [1,2,11]. The principle behind the Helmoltz cage is the generation of three orthogonal current loops in order to tune the magnitude and direction of the magnetic field within the cage.…”

Section: Magnetic-induced Disturbancesmentioning

confidence: 99%

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Disturbances Quantification for Air-Bearing Spacecraft Attitude Simulation Platforms

Di Domenico,

Topputo

2024

AIAA SCITECH 2024 Forum

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Section: Static Unbalancementioning

confidence: 99%

Section: Magnetic-induced Disturbancesmentioning

confidence: 99%

Disturbances Quantification for Air-Bearing Spacecraft Attitude Simulation Platforms

Di Domenico,

Topputo

2024

AIAA SCITECH 2024 Forum

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“…The working principle of the system is similar to that of a projector. The star map image displayed by the liquid crystal on silicon (LCOS) in the optical engine is projected through the collimating optical system to simulate the infinity characteristics of the star map [11,12]. Among them, the optical engine can be regarded as a polarizer with optical multiplexing function.…”

Section: Working Principlementioning

confidence: 99%

Study on Optimization Method of Polarization Balance for Weak Starlight System

Wu,

Sun,

et al. 2023

Preprint

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The accuracy of star position simulation is the key factor affecting the accuracy of ground calibration test of spacecraft attitude measurement system. To solve the impact of nonimaging polarized stray light on the simulation accuracy of star position in the optical engine of the system, the generation mechanism of non-imaging polarized stray light has been investigated, and an optimization method for polarization balance of the optical engine is proposed. The mathematical model of the incident light aperture angle and the ideal polarization parameter of the optical engine thin film is established, and the optimization evaluation function of polarization balance of the optical engine is constructed. An optical engine polarization balance film with the corresponding full-band binomial attenuation is <0.001 and the phase delay is <1°. Experimental results show that the simulation accuracy of the weak starlight simulation system is improved by 1.64 times using polarization balanced optical engine.

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“…Hardware arrangements for balancing and their associated performance is also evaluated. 10 Schwartz and Hall alternatively focus on the comparison of the parameter identification strategies in ACS. 11 Although da Silva focuses on air-bearing ACSs, air tables are also utilized for docking/capturing maneuver experiments.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation and control of an automatic balancing system for CubeSat research and applications

McCafferty-Leroux,

Newton,

Gadsden

2024

Sensors and Systems for Space Applications XVII

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Deployed for purposes of GPS, defense, atmospheric and space research, environmental monitoring, broadcasting, and communication, Earth observation satellites are complex systems that require the design of highly reliable control and estimation algorithms. A satellite's attitude determination and control system (ADCS) must be able to operate accurately, in a robust manner against unexpected conditions, especially in missions that demand more intricate tasks. The desire for optimal and robust performance in satellites has been the driving factor behind decades of attitude control research. With computers, the performance of spacecraft subject to some mission can be simulated to test new control methods, but the availability of real satellites to researchers for testing these algorithms is very limited. To solve this issue, attitude control simulators have been developed, such that algorithms and hardware can be tested inexpensively in a lab environment, while maintaining a high level of accuracy to the environment it emulates. The Nanosatellite Attitude Control Simulator (NACS) has been developed at McMaster University for this purpose. Consisting of a mock 1U CubeSat, an air-bearing configuration, and an automatic balancing system (ABS), rotational attitude control experiments are conducted in-lab without deployment, simulating the zero-gravity of space. The mechanism responsible for environment simulation is the ABS, which minimizes residual torque due to gravity by influencing the center of mass (CoM) of the system, thereby improving control performance and efficiency. The performance of the ABS in a balancing task is presented, where system parameters of inertia and CoM are estimated from response data. Three filtering strategies are investigated for this purpose, providing varying degrees of accuracy and computational cost.

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A review of balancing methods for satellite simulators

Cited by 13 publications

References 28 publications

Disturbances Quantification for Air-Bearing Spacecraft Attitude Simulation Platforms

Disturbances Quantification for Air-Bearing Spacecraft Attitude Simulation Platforms

Study on Optimization Method of Polarization Balance for Weak Starlight System

Parameter estimation and control of an automatic balancing system for CubeSat research and applications

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