Path: Orbit/Optimization
% Performs indirect trajectory optimization.
Available methods are: 'downhill simplex' and 'genetic algorithm' (Sail module
only). d is an array of datastructures defining the different methods. You can
set up the methods to operate sequentially, i.e. on the end condition of the
previous method, or to use the new initial lambda (costate) and redo the
problem.
This function has a built-in demo for a low thrust 2D trajectory.
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Form:
d = TrajectoryOptimization; % init data structure
[lambda,xF,tF] = TrajectoryOptimization( d )
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Inputs
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d (:) Input data structure
.method (1,:) Method
.repeat (1,1) 1 means use the last lambda for the next
pass
.d Data structure with method parameters
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Outputs
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lambda (:) The computed costates
xF (1,:) The final state achieved
tF (1,:) Time of final state
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Orbit: Optimization/CostLowThrust2D Orbit: Optimization/FLowThrust2D Orbit: Optimization/Plot2DTrajectory SC: BasicOrbit/VOrbit SC: Ephem/Planets Sail: Optimization/GAMin Common: Database/Constant Common: General/IsVersionAfter
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