fastga.models.weight.cg.cg_components.loadcase module

New estimation method of center of gravity for all load cases.

class fastga.models.weight.cg.cg_components.loadcase.ComputeGroundCGCase(**kwargs)

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Center of gravity estimation for all load cases on ground.

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.

class fastga.models.weight.cg.cg_components.loadcase.ComputeFlightCGCase(**kwargs)

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Center of gravity estimation for all load cases in flight

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.

min_in_flight_fuel(inputs)

max_speed(inputs, altitude, mass)

delta_axial_load(air_speed, inputs, altitude, mass)