fastga_he.models.propulsion.components.connectors.inverter.components.perf_modulation_index module

class fastga_he.models.propulsion.components.connectors.inverter.components.perf_modulation_index.PerformancesModulationIndex(**kwargs)

Bases: ImplicitComponent

Computation of the modulation index, left as an implicit component to leave a degree of freedom to the code to converge.

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

apply_nonlinear(inputs, outputs, residuals, discrete_inputs=None, discrete_outputs=None)

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.

linearize(inputs, outputs, jacobian, discrete_inputs=None, discrete_outputs=None)

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.

guess_nonlinear(inputs, outputs, residuals, discrete_inputs=None, discrete_outputs=None)

Provide initial guess for states.

Override this method to set the initial guess for states.

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.