fastga.models.performances.mission.mission module

Simple module for complete mission.

class fastga.models.performances.mission.mission.Mission(**kwargs)

Bases: openmdao.core.group.Group

Computes analytically the fuel mass necessary for each part of the flight cycle.

This component previously used to have a solver acting on the cruise range to ensure that range was equal to the sum of the ranges of the different flight phase. The solver was removed because, inside a global OAD process, the default global solver can handle the convergence of the cruise range just fine. This means that if this components is to be used on its own (like in the tests or payload range computation), a solver should be added.

Set the solvers to nonlinear and linear block Gauss–Seidel by default.

initialize()

Perform any one-time initialization run at instantiation.

setup()

Build this group.

This method should be overidden by your Group’s method. The reason for using this method to add subsystem is to save memory and setup time when using your Group while running under MPI. This avoids the creation of systems that will not be used in the current process.

You may call ‘add_subsystem’ to add systems to this group. You may also issue connections, and set the linear and nonlinear solvers for this group level. You cannot safely change anything on children systems; use the ‘configure’ method instead.

Available attributes:

name pathname comm options

class fastga.models.performances.mission.mission.UpdateFW(**kwargs)

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Store some bound methods so we can detect runtime overrides.

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

Parameters

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict or None) – If not None, dict containing discrete input values.

• discrete_outputs (dict or None) – If not None, dict containing discrete output values.