fastoad.models.performances.mission.openmdao.mission_run module

class fastoad.models.performances.mission.openmdao.mission_run.MissionComp(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent, fastoad.models.performances.mission.openmdao.base.BaseMissionComp

Computes a mission as specified in mission input file.

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

setup_partials()[source]

Declare partials.

This is meant to be overridden by component classes. All partials should be declared here since this is called after all size/shape information is known for all variables.

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]

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.

get_engine_wrapper() Optional[fastoad.model_base.propulsion.IOMPropulsionWrapper][source]

Overloading this method allows to define the engine without relying on the propulsion option.

(useful for tests)

Returns

the engine wrapper instance

class fastoad.models.performances.mission.openmdao.mission_run.AdvancedMissionComp(**kwargs)[source]

Bases: fastoad.models.performances.mission.openmdao.mission_run.MissionComp

Computes a mission as specified in mission input file.

Compared to MissionComp, it allows:
  • to use an initializer iteration (simple Breguet) at first call.

  • to use the mission as the design mission for the sizing process.

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]

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.