fastga_he.models.performances.mission_vector.mission.equilibrium_delta_m module
- class fastga_he.models.performances.mission_vector.mission.equilibrium_delta_m.EquilibriumDeltaM(**kwargs)[source]
Bases:
ImplicitComponentFind the conditions necessary for the aircraft equilibrium.
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.
- linearize(inputs, outputs, jacobian, discrete_inputs=None, discrete_outputs=None)[source]
Compute sub-jacobian parts and any applicable matrix factorizations.
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].
jacobian (Jacobian) – Sub-jac components written to jacobian[output_name, input_name].
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.
- apply_nonlinear(inputs, outputs, residuals, discrete_inputs=None, discrete_outputs=None)[source]
Compute residuals given inputs and outputs.
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].
residuals (Vector) – Unscaled, dimensional residuals written to via residuals[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_he.models.performances.mission_vector.mission.equilibrium_delta_m.EquilibriumDeltaMConstant(**kwargs)[source]
Bases:
ExplicitComponentDefine constant condition for retrofit aircraft equilibrium.
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.
An inherited component may choose to either override this function or to define a compute_primal function.
- Parameters:
inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].
outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].
discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.
discrete_outputs (dict-like or None) – If not None, dict-like object 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.