fastga.models.weight.mass_breakdown.c_systems.c3_avionics_systems_weight module
Python module for navigation systems weight calculation, part of the systems mass computation.
- class fastga.models.weight.mass_breakdown.c_systems.c3_avionics_systems_weight.ComputeAvionicsSystemsWeight(**kwargs)[source]
Bases:
openmdao.core.explicitcomponent.ExplicitComponentWeight estimation for avionics systems. Takes into account the weight of: - Instrumentation - Avionics - Electronics
Based on a statistical analysis. See [Ros85a] Torenbeek method. This method might not be suited for modern aircraft with EFIS type cockpit installation according to Roskam.
Store some bound methods so we can detect runtime overrides.
- 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.
- class fastga.models.weight.mass_breakdown.c_systems.c3_avionics_systems_weight.ComputeAvionicsSystemsWeightFromUninstalled(**kwargs)[source]
Bases:
openmdao.core.explicitcomponent.ExplicitComponentWeight estimation for avionics systems. Takes into account the weight of: - Instrumentation - Avionics - Navigation
Based on a statistical analysis. See [Gud13].
Store some bound methods so we can detect runtime overrides.
- 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.