Attitude determination for nano-satellites – I. Spherical projections for large field of view infrasensors

Kapas, Kornel; Bozóki, Tamás; Dálya, G.; Takátsy, János; Mészáros, Lukács; Pál, András

doi:10.1007/s10686-021-09730-y

Cited by 10 publications

(13 citation statements)

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“…The results show that the recovery has a 1 error of ∼ 22 � in our standard case, while this error is ∼ 18 � and ∼ 32 � in the low-and high-error cases, respectively. This is an improvement on the ∼ 40 � error of the MLX infrasensor's point source detection accuracy [7], which shows the power of the MEKF method.…”

Section: Simulation Resultsmentioning

confidence: 80%

“…While on large-size satellites this information is usually provided by costly, large-size star trackers, which determine the attitude based on the angular distribution of bright stars in their field of view, these systems do not fit the very restricted size and power budget criteria of nano-satellites. In our recent paper [7] we proposed a new, cost-efficient approach to this problem which is based on the utilization of thermal imaging infrasensors. For this purpose we chose the MLX90640 infrasensor of [10], which is a small-size, low-cost sensor having 32× 24 pixels and a relatively large, 110× 75 degree field of view.…”

Section: Introductionmentioning

confidence: 99%

“…This coverage by a single sensor implies that six of these sensors, placed on the six sides of a cube, could cover the full sphere, see Fig. 4 of [7]. This technology might be suitable to even smaller satellites in similar missions like GRBAlpha [12].…”

Section: Introductionmentioning

confidence: 99%

“…This technology might be suitable to even smaller satellites in similar missions like GRBAlpha [12]. As the spherical projection function of MLX90640 infrasensors (to be used for this purpose) is now known with an overall accuracy of ∼ 40 � [7] we now turn to the next step and introduce a simulation model for testing the applicability of our attitude determination approach. As we outline in our recent paper [4], our method is based on a multiplicative extended Kalman filter that uses the information provided by the infrasensors (direction of the Sun and the nadir in the satellite's coordinate frame), the GPS system (the location of the satellite in the Earth centered coordinate frame) and the MEMS gyroscopes (angular velocity of the satellite) carried by the satellite.…”

Section: Introductionmentioning

confidence: 99%

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Attitude determination for nano-satellites – II. Dead reckoning with a multiplicative extended Kalman filter

et al. 2021

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This paper is the second part of a series of studies discussing a novel attitude determination method for nano-satellites. Our approach is based on the utilization of thermal imaging sensors to determine the direction of the Sun and the nadir with respect to the satellite with sub-degree accuracy. The proposed method is planned to be applied during the Cubesats Applied for MEasuring and LOcalising Transients (CAMELOT) mission aimed at detecting and localizing gamma-ray bursts with an efficiency and accuracy comparable to large gamma-ray space observatories. In our previous work we determined the spherical projection function of the MLX90640 infrasensors planned to be used for this purpose. We showed that with the known projection function the direction of the Sun can be located with an overall accuracy of $$\sim 40^\prime$$ ∼ 40 ′ . In this paper we introduce a simulation model aimed at testing the applicability of our attitude determination approach. Its first part simulates the orbit and rotation of a satellite with arbitrary initial conditions while its second part applies our attitude determination algorithm which is based on a multiplicative extended Kalman filter. The simulated satellite is assumed to be equipped with a GPS system, MEMS gyroscopes and the infrasensors. These instruments provide the required data input for the Kalman filter. We demonstrate the applicability of our attitude determination algorithm by simulating the motion of a nano-satellite on Low Earth Orbit. Our results show that the attitude determination may have a 1$$\sigma$$ σ error of $$\sim 30'$$ ∼ 30 ′ even with a large gyroscope drift during the orbital periods when the infrasensors provide both the direction of the Sun and the Earth (the nadir). This accuracy is an improvement on the point source detection accuracy of the infrasensors. However, the attitude determination error can get as high as 25$$^{\circ }$$ ∘ during periods when the Sun is occulted by the Earth. We show that following an occultation period the attitude information is immediately recovered by the Kalman filter once the Sun is observed again.

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Section: Simulation Resultsmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Attitude determination for nano-satellites – II. Dead reckoning with a multiplicative extended Kalman filter

et al. 2021

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“…The MLX90640 IR thermal camera's temperatures ranged from -40F to 572F with a resolution of ±29F [25]. The maximum frame rate of MLX90640 equals 16Hz, which is ideal for abnormal fever temperature [26].…”

Section: Fig 1 Total Vaccine Doses Per 100 Peoplementioning

confidence: 99%

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

Chaari

Aljaberi²

2021

Int. J. Onl. Eng.

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People's health and the world economy around worldwide are under the impact of the virus. Controlling the propagation of coronavirus is extraordinarily challenging after the seventeen months since the pandemic outbreak. This research will represent the efficiency of robots in helping humanity in facing the Corona pandemic and the global health crisis. According to the quick and widespread Covid-19 contagion globally, healthcare service demand increased staff with less availability. In this crisis, robotics is the safe solution at a low price to support people to fight Covid-19.Furthermore, it is essential to relax lockdown restrictions after the increase in the number of people vaccinated. In this context, we designed a mobile robot with a thermal temperature scanner for pedestrians and identified those with abnormal temperatures over 39°C in public places and track them in real time. This robot features a long-lasting, lightweight battery and a high-quality thermal camera. Our primary target is to reduce the risk of transmission between people. We use a single-board computer and a thermal camera to detect unusual fevers near real-time to achieve this design and prototyping. In addition, we use image processing to detect target pedestrians and a control system to guide the robot. This robot can bypass any potential obstacles that can prevent it from moving around and cause problems. The development of this robot mainly focuses on the real-time measurement of body temperature at a distance of two meters. The compensation algorithm can coordinate between the mechanical parts of the robot and high-efficiency design.

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Ionospheric measurement using a linearly polarized tri-band small satellite beacon

Lanter

Sutinjo

Morgan

2023

Advances in Space Research

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Attitude determination for nano-satellites – I. Spherical projections for large field of view infrasensors

Cited by 10 publications

References 1 publication

Attitude determination for nano-satellites – II. Dead reckoning with a multiplicative extended Kalman filter

Attitude determination for nano-satellites – II. Dead reckoning with a multiplicative extended Kalman filter

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

Ionospheric measurement using a linearly polarized tri-band small satellite beacon

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