fastga.models.performances.mission.mission_components.descent module

Simple module for descent computation.

class fastga.models.performances.mission.mission_components.descent.ComputeDescent(**kwargs)

Bases: fastga.models.performances.mission.dynamic_equilibrium.DynamicEquilibrium

Compute the fuel consumption on descent segment with constant VCAS and descent rate. The hypothesis of small alpha angle is done. Warning: Descent rate is reduced if cd/cl < abs(desc_rate)!

Store some bound methods so we can detect runtime overrides.

initialize()

Perform any one-time initialization run at instantiation.

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.

class fastga.models.performances.mission.mission_components.descent.ComputeDescentSpeed(**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.