Beginning with the mathematics model of the spacecrafts remote rendezvous, we research the problem of space
maneuver vehicle (SMV) remote rendezvous on-orbit target basing on Lambert orbit maneuver method. To find a
minimum velocity impulse transfer orbit, we set up object functions when the SMV's initial orbit parameters are known
or unknown. We use an advanced intelligent optimal technology, particle swarm optimal technology, to get the object
function's extremum. So we can obtain the SMV's proper initial orbit parameters and transfer occasion. On this
condition the SMV needs little velocity impulse to approach the target spacecraft. Last, the simulation results show that
we can get a transfer orbit to rapidly approaching on-orbit target which needs very little velocity impulse by using this method.
This paper utilizes ontology to define and organize the information objects, data elements and their relations in the
domain of earth observation task of satellite. In this paper, we proposes a new method for building domain ontology of
earth observation task, it includes five steps: task definition, task disassembly, relation analysis, describing ontology and
ontology instantiation. The ontology-based method is effective and reliable for standardization and semantization of
earth observation task.
In this paper, we research a convenient method and its mathematics model of using space maneuver vehicle (SMV)
rapidly approach sub-orbit target. For minimizing the velocity impulse needs by the transfer orbit, an object function is
set up. Then we use a genetic algorithm toolbox GAOT to get the optimal result of this object function. Last, we simulate
the two situations; including the SMV's orbit parameters are known or unknown. These simulation results show that this
method can be used to find the rapidly approaching orbit which needs the minimal velocity impulse.
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