2009
DOI: 10.2514/1.37675
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Nonlinear Optimization of Low-Thrust Trajectory for Satellite Formation: Legendre Pseudospectral Approach

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Cited by 73 publications
(21 citation statements)
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“…Consider a formation of n satellites with identical dynamics. The relative motion dynamics of each satellite with respect to circular reference orbit is modeled in (2). Now it can be rewritten as follows with index:…”
Section: Formulation Of Cyclic Formation Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…Consider a formation of n satellites with identical dynamics. The relative motion dynamics of each satellite with respect to circular reference orbit is modeled in (2). Now it can be rewritten as follows with index:…”
Section: Formulation Of Cyclic Formation Controlmentioning
confidence: 99%
“…It has attracted much attention recently due to its perceived operational benefits, such as reduced cost, mission flexibility, improved performance, increased reliability and enhanced survivability. However, there are several technical challenges that formation flying missions face: high-precision relative navigation, distributed communication, trajectory optimization [2] and formation control [1].…”
Section: Introductionmentioning
confidence: 99%
“…A variety of control schemes has been proposed for formation reconfiguration via different methods, whether open-loop or closed-loop ones. With respect to the open-loop category, [4][5][6][7][8][9][10][11] Wu et al 4 designed low-thrust optimal strategies for reconfiguration by using the pseudospectral method. Similar problem was addressed by Li and Xi 5 via homotopic approach.…”
Section: Introductionmentioning
confidence: 99%
“…Huntington [8] used Gauss pseudospectral method for tetrahedral formation reconfiguration, but collision avoidance was not considered. Wu et al [9] used LPM to design fuel-optim al trajectories for spacecraft reconfiguration in near-earth orbit with an exact nonlinear relative spacecraft dynamic model. Autonomous formation flying is important for deep space missions, so the reconfiguration algorithm for deep space missions should be simple enough to run on-board and plan the trajectories fast even realtime.…”
Section: Introductionmentioning
confidence: 99%