16 research outputs found
Designing star trackers to meet micro-satellite requirements
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.Includes bibliographical references (p. 179-187).Star trackers provide numerous advantages over other attitude sensors because of their ability to provide full, three-axis orientation information with high accuracy and flexibility to operate independently from other navigation tools. However, current star trackers are optimized to maximize accuracy, at the exclusion of all else. Although this produces extremely capable systems, the excessive mass, power consumption, and cost that result are often contradictory to the requirements of smaller space vehicles. Thus, it is of interest to design smaller, lower cost, albeit reduced capability star trackers that can provide adequate attitude and rate determination to small, highly maneuverable, low-cost spacecraft. This thesis discusses the analysis used to select hardware and predict system performance, as well as the algorithms that have been employed to determine attitude information and rotation rates of the spacecraft. Finally, the performance of these algorithms using computer simulated images, nighttime photographs, and images captured directly by star tracker prototypes is presented.by Kara M. Huffman.S.M
The design and implementation of a stellar gyroscope for accurate angular rate estimation on CubeSats
Thesis (MEng)--Stellenbosch University, 2015.ENGLISH ABSTRACT: Until recently, small form factor satellites (such as CubeSats) relied almost exclusively
on micro electromechanical system (MEMS) gyroscopes for attitude propagation
purposes. Unfortunately, the nature of MEMS gyros is such that they exhibit a
measure of bias drift. This drift must be compensated for, a task for which stellar
gyros have proved to be exceptionally useful.
Stellar gyros are satellite subsystems capable of inferring three-axis attitude propagation
based on the displacement of a series of stars between successive image frames.
Their design is analogous to that of star trackers, using many of the same hardware
designs and algorithms. When used in combination with MEMS solutions,
stellar gyros provide not only a means for drift compensation, but also a measure of
functional redundancy with regard to attitude propagation.
This thesis presents the design and implementation of stellar gyroscope algorithms
capable of operating alongside existing orientation algorithms on traditional star
tracker hardware. The CubeStar star tracker module is used as development platform.
The proposed stellar gyro solution retains CubeStar’s existing star extraction
algorithms, while investigating alternative methods for star centroiding in addition to
the existing centre of gravity (CoG) approach. A dynamic proximity based matching
algorithm is suggested to determine star correspondence between image frames.
Finally, various well established estimation algorithms are considered for the purpose
of rate determination, including singular value decomposition (SVD), Davenport’s
q-Method and weighted least-squares (WLS).
An initial evaluation of the proposed algorithms is made based on simulations in the
MATLAB environment. Simulation results are confirmed through means of practical
tests, performed on a simulated night sky in a controlled environment. With a focus
on low angular rates, results suggest reliable operation up to ±1 deg/s in all three
axes of rotation. As expected for stellar imaging solutions, angular rates estimated
in both cross-boresight axes are almost an order of magnitude more accurate than
the corresponding estimates in the boresight axis itself.AFRIKAANSE OPSOMMING: Mikrosatelliete, soos CubeSats, het tot onlangs byna uitsluitlik op mikro elektromeganiese
(MEMS) vibrerende struktuur giroskope staatgemaak vir die meet van
hoeksnelhede. Ongelukkig is die aard van MEMS giroskope sodanig dat hierdie
metings afsette toon wat al hoe verder van hul werklike waardes verskuif. Daar moet
gekompenseer word vir hierdie verskuiwing, ’n taak waarvoor stergiroskope besonder
geskik is.
Sterrebeeld gebaseerde giroskope (of bloot gewoon stergiroskope) is satelliet substelsels
wat daartoe in staat is om ’n satelliet se oriëntasie in drie dimensies te propageer deur
gebruik te maak van die verplasing van ’n reeks sterre tussen twee opeenvolgende
beelde. Hulle ontwerp in terme van beide hardeware en algoritmes is soortgelyk aan
dié van stervolger kameras. Stergiroskope kan ook saam met MEMS toestelle gebruik
word. Hulle verskaf beide ’n metode om te kompenseer vir verskuiwings in MEMS
metings sowel as ’n funksionele alternatief met betrekking tot hoekafskatting.
Hierdie tesis beskryf die ontwerp en implementering van ster giroskoop algoritmes wat
in staat is om hand-in-hand met bestaande oriëntasie algoritmes op tradisionele ster
volger hardeware te funksioneer. Die CubeStar stervolger module is as ontwikkelings
platform gebruik. Die beoogde stergiroskoop ontwerp behou CubeStar se bestaande
ster ontginnings algoritmes. Verskeie metodes benewens die bestaande swaartepunt
benadering word wel ondersoek vir die bepaling van ster sentroïedes. Die korrespondensie
tussen opeenvolgende sterbeelde word bepaal deur middel van ’n dinamiese
nabyheid gebaseerde passings algoritme. Ten slotte word verskeie algoritmes oorweeg
vir die afskatting van ’n satelliet se hoeksnelhede. Dit sluit in enkelvoud waarde
ontbinding (SVD), Davenport se q-metode en ’n geweegte kleinste kwadraat (WLS)
benadering.
Die voorgestelde algoritmes is ge-evalueer op grond van simulasies in die MATLAB
omgewing. Praktiese toetse is uitgevoer op ’n gesimuleerde sterrebeeld om simulasie
resultate te bevestig. Met ’n fokus op lae hoeksnelhede dui resultate op betroubare
afskatting teen hoeksnelhede van tot ±1 grade/s rondom al drie rotasie-asse. Soos
verwag van ster kameras is die hoekafskattings rondom die transversale asse ’n orde
meer akkuraat as die ooreenstemmende afskattings rondom die optiese as
Design and evaluation of a digital processing unit for satellite angular velocity estimation
A satellite's absolute attitude and angular rate are both important measurements for satellite missions that require navigation. Typically, these measurements have been made by separate sensors, with star cameras being used to determine a satellite's absolute attitude, and gyroscopes being used as the primary rate sensors. Recently, there have been multiple efforts to measure both of these quantities using only the star camera, however the work primarily involves solutions where the optical sensor and the unit that processes the images are separate integrated circuits. Operation in this modality requires the use of chip to chip communication in order to estimate angular rate from star tracker images, which can lead to an increase in system power, a degradation in performance, and increased latency. The goal of this thesis is to consolidate the sensing and processing into a single integrated circuit. The design and evaluation of a digital processing unit that estimates angular rate and facilitates the realization of image sensor and processor integration is presented. The processing unit is implemented in UMC's 130 nm process, has an area of 10 mm × 200 μm, and consumes 8.253 mW of power
Modeling, image processing and attitude estimation of high speed star sensors
Attitude estimation and angular velocity estimation are the most critical components
of a spacecraft's guidance, navigation and control. Usually, an array of tightlycoupled
sensors (star trackers, gyroscopes, sun sensors, magnetometers) is used to
estimate these quantities. The cost (financial, mass, power, time, human resources)
for the integration of these separate sub-systems is a major deterrent towards realizing
the goal of smaller, cheaper and faster to launch spacecrafts/satellites. In this
work, we present a novel stellar imaging system that is capable of estimating attitude
and angular velocities at true update rates of greater than 100Hz, thereby eliminating
the need for a separate star tracker and gyroscope sub-systems.
High image acquisition rates necessitate short integration times and large optical
apertures, thereby adding mass and volume to the sensor. The proposed high
speed sensor overcomes these difficulties by employing light amplification technologies
coupled with fiber optics. To better understand the performance of the sensor, an
electro-optical model of the sensor system is developed which is then used to design
a high-fidelity night sky image simulator. Novel star position estimation algorithms
based on a two-dimensional Gaussian fitting to the star pixel intensity profiles are
then presented. These algorithms are non-iterative, perform local background estimation
in the vicinity of the star and lead to significant improvements in the star
centroid determination. Further, a new attitude determination algorithm is developed that uses the inter-star angles of the identified stars as constraints to recompute
the body measured vectors and provide a higher accuracy estimate of the attitude
as compared to existing methods. The spectral response of the sensor is then used
to develop a star catalog generation method that results in a compact on-board star
catalog. Finally, the use of a fiber optic faceplate is proposed as an additional means
of stray light mitigation for the system. This dissertation serves to validate the conceptual
design of the high update rate star sensor through analysis, hardware design,
algorithm development and experimental testing
Compact pixel architecture for CMOS lateral flow immunoassay readout systems
A novel pixel architecture for CMOS image sensors is presented. It uses only one amplifier for both integration of the photocurrent and in-pixel noise cancelation, thus minimizing power consumption. The circuit is specifically designed to be used in readout systems for lateral flow immunoassays. In addition a switching technique is introduced enabling the use of column correlated double sampling technique in capacitive transimpedance amplifier pixel architectures without the use of any memory cells. As a result the reset noise which is crucial in these architectures can be suppressed. The circuit has been designed in a 0.35-μm CMOS technology and simulations are presented to show its performance
CSTARS: Cryogenic CMOS Optical Star Tracking
CMOS and sCMOS image sensors are a cost-effective alternative to the more common CCD based experimental sensors. While often being less favored than CCDs at room temperature, CMOS image sensors have a better performance at lower temperatures and are the only of the two highly used technologies that is viable at cryogenic temperatures. This paper discusses development iterations of the star tracking rocket attitude regulation system (CSTARS). This includes discussions of the cryogenic operation of CMOS sensors as well as operating in and interfacing with a NASA sounding rocket as a star tracking system. Both iterations of the project have proved effective in operating sCMOS image sensors at cryogenic temperatures with low read noise. Star tracking has also been successful in the second iteration of the system, which is scheduled to fly with the CIBER-2 sounding rocket experiment. A successful flight with CIBER-2 would prove the readiness of sCMOS sensors for cryogenic operation in a real world application
Circuits and Systems for Lateral Flow Immunoassay Biosensors at the Point-of-Care
Lateral Flow Immunoassays (LFIAs) are biosensors, which among others are used for the detection of infectious diseases. Due to their numerous advantages, they are particularly suitable for point of care testing, especially in developing countries where there is lack of medical healthcare centers and trained personnel. When the testing sample is positive, the LFIAs generate a color test line to indicate the presence of analyte. The intensity of the test line relates to the concentration of analyte. Even though the color test line can be visually observed for the accurate quantification of the results in LFIAs an external electronic reader is required. Existing readers are not fully optimized for point-of-care (POC) testing and therefore have significant limitations. This thesis presents the development of three readout systems that quantify the results of LFIAs. The first system was implemented as a proof of concept of the proposed method, which is based on the scanning approach without using any moving components or any extra optical accessories. Instead, the test line and the area around it, are scanned using an array of photodiodes (1 × 128). The small size of the pixels gives the system sufficient spatial resolution, to avoid errors due to positioning displacement of the strip. The system was tested with influenza A nucleoprotein and the results demonstrate its quantification capabilities. The second generation system is an optimized version of the proof of concept system. Optimization was performed in terms of matching the photodetectors wavelength with the maximum absorption wavelength of the gold nanoparticles presented in the tested LFIA. Ray trace simulations defined the optimum position of all the components in order to achieve uniform light distribution across the LFIA with the minimum number of light sources. An experimental model of the optical profile of the surface of LFIA was also generated for accurate simulations. Tests of the developed system with LFIAs showed its ability to quantify the results while having reduced power consumption and better limit of detection compared to the first system. Finally, a third generation system was realized which demonstrated the capability of having a miniaturized reader. The photodetector of the previous systems was replaced with a CMOS Image Sensor (CIS), specifically designed for this application. The pixel design was optimized for very low power consumption via biasing the transistors in subthreshold and by reusing the same amplifier for both photocurrent to voltage conversion and noise cancellation. With uniform light distribution at 525 nm and 76 frames/s the chip has 1.9 mVrms total output referred noise and a total power consumption of 21 μW. In tests with lateral flow immunoassay, this system detected concentrations of influenza A nucleoprotein from 0.5 ng/mL to 200 ng/mL
Science Mission Directorate TechPort Records for 2019 STI-DAA Release
The role of the Science Mission Directorate (SMD) is to enable NASA to achieve its science goals in the context of the Nation's science agenda. SMD's strategic decisions regarding future missions and scientific pursuits are guided by Agency goals, input from the science community including the recommendations set forth in the National Research Council (NRC) decadal surveys and a commitment to preserve a balanced program across the major science disciplines. Toward this end, each of the four SMD science divisions -- Heliophysics, Earth Science, Planetary Science, and Astrophysics -- develops fundamental science questions upon which to base future research and mission programs