The simulation and model configuration is done via json. An example is provided in test/basic.json
.
The complexity of the simulation is reasonably limited so that no option should require extensive elaboration. The structure of the config file is
gravitymodel
[optional] select the gravity model in useradial
orconstant
model
drag
xyz
override the parameter ofxyz
in the active drag model
gravity
xyz
override the parameter ofxyz
in the active gravitational model.
solver
Select one of the available integrators from matlab, see docs for available optionssolverOptions
override matlab's default sovler configuration for active solverexeperiment
StartTime
,StopTime
control the integration time
The one additional note maybe required: Everything under model
mimics the internal model component hierachy. I.e. if we had a third model such as a gas model for altitude dependent density, we might call it fluid
and then its parameters would automatically be available for overriding under model.fluid
. Therefore, the names of available overrides for the model can be inferred from the model properties. However, they are identical to the notation in the supplied pdf document.
The simulation takes the path to the described json and saves a csv with the solution next to the config json to be examined in the tool of choice.
simulation('path/to/json')
Any falsely set configs should produce warnings and overrides should print their override.