Cassini Spacecraft Attitude Control System Performance and Lessons Learned, 1997–2017

Lee, Allan Y.; Burk, Thomas A.

doi:10.2514/1.a34236

Cited by 7 publications

(5 citation statements)

References 55 publications

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“…This was achieved using either the 8 1-N reaction control system (RCS) thrusters or the reaction wheel assembly. A slight unbalance of the RCS thrusts introduced undesired ∼millimetre/s-magnitude ∆V s on the spacecraft, referred to as small forces (Lee & Burk 2019). In addition, spacecraft dynamics were affected by solar radiation pressure (SRP), the anisotropic acceleration produced by the radioisotope thermoelectric generators (RTGs), and the drag of the upper atmosphere of Titan during the closer flybys of the moon (with an altitude < 1000 km) (Pelletier et al 2006).…”

Section: Point Out a Better Knowledgementioning

confidence: 99%

Analysis of Cassini radio tracking data for the construction of INPOP19a: A new estimate of the Kuiper belt mass

Ruscio

Fienga

Durante

et al. 2020

A&A

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Context. Recent discoveries of new trans-Neptunian objects have greatly increased the attention by the scientific community to this relatively unknown region of the solar system. The current level of precision achieved in the description of planet orbits has transformed modern ephemerides in the most updated tools for studying the gravitational interactions between solar system bodies. In this context, the orbit of Saturn plays a primary role, especially thanks to Cassini tracking data collected during its 13-year mission around the ringed planet. Planetary ephemerides are currently mainly built using radio data, in particular with normal points derived from range and Doppler observables exchanged between ground stations and interplanetary probes. Aims. We present an analysis of Cassini navigation data aimed at producing new normal points based on the most updated knowledge of the Saturnian system developed throughout the whole mission. We provide additional points from radio science dedicated passes of Grand Finale orbits and Titan flybys. An updated version of the INPOP planetary ephemerides based upon these normal points is presented, along with a new estimate of the mass of trans-Neptunian object rings located in the 2:1 and 3:2 mean motion resonances with Neptune. Methods. We describe in detail the orbit determination process performed to construct the normal points and their associated uncertainties and how we process those points to produce a new planetary ephemeris. Results. From the analysis, we obtained 623 new normal points for Saturn with metre-level accuracy. The ephemeris INPOP19a, including this new dataset, provides an estimated mass for the trans-Neptunian object rings of (0.061 ± 0.001)M⊕.

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Section: Point Out a Better Knowledgementioning

confidence: 99%

Analysis of Cassini radio tracking data for the construction of INPOP19a: A new estimate of the Kuiper belt mass

Ruscio

Fienga

Durante

et al. 2020

A&A

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“…This paper clusters the normal flywheel data of the same model to obtain the safety domain of the flywheel operation, which is used as the standard for fault identification. The calculation processes are as follows: (1). Preprocessing of Noise Data…”

Section: Health Monitoring Of the Rolling Bearings In Mwas Based On Tmentioning

confidence: 99%

“…Because reliability is of paramount importance, precision class bearings are selected. As one of the critical components, failure of these bearings leads to partial and total mission failure or performance degradation of the spacecraft [1,2]. In fact, lubrication problems and retainer instability are the major causes of failure in ball bearings used in spacecraft rotating systems [3,4].…”

Section: Introductionmentioning

confidence: 99%

Health Monitoring on the Spacecraft Bearings in High-Speed Rotating Systems by Using the Clustering Fusion of Normal Acoustic Parameters

Wang²,

Liu³

et al. 2019

Applied Sciences

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The rolling bearings in moment wheel assemblies (MWAs) or control moment gyros (CMGs) are not only the core components in spacecrafts but also prone to failure. Therefore, a high reliability is the critical characteristic for spacecraft bearings, and long-life testing on the ground is one of the main means for bearing reliability assessment. In practical applications, a convenient and reliable method is required for monitoring the health status of abnormal bearings in MWAs during the long-life test. In this paper, a monitoring method based on the clustering fusion of normal operation acoustic parameters is proposed for the identification of abnormal bearings. Firstly, the characteristics of MWA's acoustic signal and its feasibility as a monitoring medium are clarified based on tests and modal analysis. Then statistical parameters and sound quality parameters are introduced to characterize the changes caused by bearing faults, and the root mean square (RMS), kurtosis, and sharpness parameters are selected to construct the feature vectors. The K-medoids clustering technology is used to fuse the characteristic parameters, and the safety distance for normal bearing operation can be obtained by a suitable method. Finally, the abnormal index is presented based on the excess rate and excess distance to judge the abnormal states of several types of bearings through tests. The research results indicate that the presented monitoring method based on the clustering of the normal operation acoustic parameters can not only identify various faults of the spacecraft bearing (ball defects, outer ring defects, cage instability, etc.) effectively but also give a quantitative evaluation of the severity of the abnormality.

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“…The field of view (FOV) of the instruments may be adjusted to capture a specific region of interest. For example, Cassini and Voyager missions had very high-pointing precision requirements to accomplish the scientific objectives (Heacock, 1980;Lee and Burk, 2019). Additionally, individual experiments may also necessitate different attitude modes for a spacecraft (Kalafatoglu Eyiguler et al, 2022;2023c).…”

Section: Introductionmentioning

confidence: 99%

cavsiopy: a Python package to calculate and visualize spacecraft instrument orientation

Kalafatoglu Eyiguler,

Holley,

Howarth

et al. 2023

Front. Astron. Space Sci.

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Spacecraft attitude plays an important role in the observations of various atmospheric, planetary, and terrestrial parameters and phenomena that are of interest to the scientific community. Precise measurements from imagers, particle sensors, and antennas require accurate knowledge of instrument orientation. cavsiopy is an easy-to-install and use, light-weight open-source Python package for researchers who need to consider instrument pointing direction and observation geometry. cavsiopy contains the coordinate transformation routines and the corresponding rotation matrices from the spacecraft orbital reference frame (ORF) to any of the geocentric equatorial inertial for epoch J2000 (GEI J2K)/International Celestial Reference Frame (ICRF), Earth-centered, Earth-fixed (ECEF), International Terrestrial Reference Frame (ITRF), geodetic north-east-down, and geocentric north-east-center coordinate systems. Additionally, cavsiopy includes routines for importing Swarm-E ephemeris and generic two-line-element (TLE) data files; for the calculation of spacecraft azimuth, elevation, and orbital parameters; as well as for the 2D/3D visualization of the geometry between the instrument and the target. Functionality and utilization of cavsiopy for research problems are demonstrated with examples and visualizations for the Radio Receiver Instrument (RRI) and the Fast Auroral Imager (FAI) of e-POP/Swarm-E.

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Cassini Spacecraft Attitude Control System Performance and Lessons Learned, 1997–2017

Cited by 7 publications

References 55 publications

Analysis of Cassini radio tracking data for the construction of INPOP19a: A new estimate of the Kuiper belt mass

Analysis of Cassini radio tracking data for the construction of INPOP19a: A new estimate of the Kuiper belt mass

Health Monitoring on the Spacecraft Bearings in High-Speed Rotating Systems by Using the Clustering Fusion of Normal Acoustic Parameters

cavsiopy: a Python package to calculate and visualize spacecraft instrument orientation

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