2016
DOI: 10.5140/jass.2016.33.4.323
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Uncertainty Requirement Analysis for the Orbit, Attitude, and Burn Performance of the 1st Lunar Orbit Insertion Maneuver

Abstract: In this study, the uncertainty requirements for orbit, attitude, and burn performance were estimated and analyzed for the execution of the 1st lunar orbit insertion (LOI) maneuver of the Korea Pathfinder Lunar Orbiter (KPLO) mission. During the early design phase of the system, associate analysis is an essential design factor as the 1st LOI maneuver is the largest burn that utilizes the onboard propulsion system; the success of the lunar capture is directly affected by the performance achieved. For the analysi… Show more

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Cited by 8 publications
(5 citation statements)
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“…Apart from the phasing loop transfer phase, numerous uncertainties relating to LOI burns were also considered. Uncertainty requirement analyses for the orbit, attitude, and burn performance of the 1st LOI maneuver (Song et al 2016a) were conducted. The effect of burn delays with the inclusion of position and velocity errors (Bae et al 2016b(Bae et al , 2017b were also analyzed.…”
Section: Recent Status: Kplo Mission To Moonmentioning
confidence: 99%
“…Apart from the phasing loop transfer phase, numerous uncertainties relating to LOI burns were also considered. Uncertainty requirement analyses for the orbit, attitude, and burn performance of the 1st LOI maneuver (Song et al 2016a) were conducted. The effect of burn delays with the inclusion of position and velocity errors (Bae et al 2016b(Bae et al , 2017b were also analyzed.…”
Section: Recent Status: Kplo Mission To Moonmentioning
confidence: 99%
“…Previous studies have conducted dispersion analyses of the KPLO considering uncertainties in the trans-lunar injection (TLI) and LOI maneuvers. (Bae et al 2016a, b;Song et al 2016;Bae et al 2017a, b).…”
Section: Introductionmentioning
confidence: 99%
“…To ensure successful flight dynamics operations, KARI designed a dual-simulation engine, consisting of a commercial off-the-shelf (COTS) simulation engine and a KARI simulation engine (Song et al 2018). Numerous studies (Song et al 2014;Song et al 2016;Bae et al 2017;Song et al 2017) have discussed development strategies, requirements, burn performances, and contingency designs for the development and implementation of the KPLO FDS. For the OD, the COTS simulation engine employs a sequential estimation based on an extended Kalman filter (EKF) and a backward smoother.…”
Section: Introductionmentioning
confidence: 99%