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UID:0-520@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20151111T163000

DTEND;TZID=Asia/Jerusalem:20151111T173000

DTSTAMP:20230603T193049Z

URL:https://aerospace.technion.ac.il/events/development-of-satellite-clust
 er-flight-algorithms-under-thrusting-errors/

SUMMARY:Development of Satellite Cluster Flight Algorithms Under Thrusting 
 Errors
DESCRIPTION:Lecturer:Michal Jashinski\n Faculty:Department of Aerospace Eng
 ineering\n Institute:Technion – Israel Institute of Technology\n Locatio
 n:Classroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstr
 act: \n Details: \n One of the most widely considered topics in satellite 
 cluster flight is the control of relative positions among satellites\, ref
 erred to as cluster keeping. In general\, satellite cluster keeping is aim
 ed at keeping the satellites in a specific range of distances. In order to
  maintain relative distances within given bounds\, maneuvers are required.
  Fuel consumption should be minimized in order to decrease mass. However\
 , in practical situations\, thrust parameters are often uncertain. Errors 
 can occur in the magnitude of the thrust as well as in its direction. Thes
 e errors are often caused by the uncertainty of operating in the space env
 ironment. Moreover\, the on-board sensors used for thrust measurements are
  noisy and biased. These effects may seriously jeopardize the cluster flig
 ht mission on the long term.\nThe main purpose of this research is to robu
 stify cluster control methods under thrusting errors and uncertainties\, a
 nd minimize the effect of thrusting errors and noise on the evolution of r
 elative distances and on the consumption of fuel. In particular\, this res
 earch develops algorithms that minimize the fuel consumption during the ma
 neuver as well as minimize the time of the maneuver in spite of thrusting 
 errors and noise. An inverse dynamics controller was implemented\, using m
 ean orbital elements feedback\, while an adaptive control scheme was used 
 for the thrust pointing error reduction in order to obtain optimality in t
 erms of fuel consumption and operation time.\nIn order to verify the perfo
 rmance of the cluster keeping controller under these conditions\, a Kalman
  Filter was designed for estimating the mean elements. A comparison betwee
 n the results with and without noise are presented. A Monte-Carlo simulati
 on results are also presented in order to show the convergence of the erro
 rs created by noise.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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DTSTART:20151025T010000

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