fastga.models.handling_qualities.tail_sizing.update_ht_area module
Estimation of horizontal tail area.
- class fastga.models.handling_qualities.tail_sizing.update_ht_area.UpdateHTArea(**kwargs)[source]
Bases:
openmdao.core.group.Group- Computes needed ht area to:
have enough rotational power during take-off phase.
have enough rotational power during landing phase.
Set the solvers to nonlinear and linear block Gauss–Seidel by default.
- setup()[source]
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.handling_qualities.tail_sizing.update_ht_area.HTPConstraints(**kwargs)[source]
Bases:
openmdao.core.explicitcomponent.ExplicitComponentStore some bound methods so we can detect runtime overrides.
- class fastga.models.handling_qualities.tail_sizing.update_ht_area.UpdateHTAreaVolumeCoefficient(**kwargs)[source]
Bases:
openmdao.core.explicitcomponent.ExplicitComponentComputation of the area of the horizontal tail with given volume coefficient. The formulas and default values are obtained from [Gud13].
Store some bound methods so we can detect runtime overrides.
- 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.
- compute_partials(inputs, partials, discrete_inputs=None)[source]
Compute sub-jacobian parts. The model is assumed to be in an unscaled state.
- Parameters
inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].
partials (Jacobian) – Sub-jac components written to partials[output_name, input_name]..
discrete_inputs (dict or None) – If not None, dict containing discrete input values.