fastoad.models.performances.mission.openmdao.payload_range module

Payload-Range diagram computation.

class fastoad.models.performances.mission.openmdao.payload_range.PayloadRange(**kwargs)[source]

Bases: Group, BaseMissionComp, NeedsOWE, NeedsMTOW, NeedsMFW

OpenMDAO component for computing data for payload-range plots.

Set the solvers to nonlinear and linear block Gauss–Seidel by default.

initialize()[source]

Perform any one-time initialization run at instantiation.

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 fastoad.models.performances.mission.openmdao.payload_range.PayloadRangeContourInputValues(**kwargs)[source]

Bases: ExplicitComponent, BaseMissionComp, NeedsOWE, NeedsMTOW, NeedsMFW

This class provides input values for missions that will compute the contour of the payload-range diagram.

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

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.

class fastoad.models.performances.mission.openmdao.payload_range.PayloadRangeGridInputValues(**kwargs)[source]

Bases: ExplicitComponent, BaseMissionComp, NeedsOWE

This class provides input values for missions that will compute points inside the contour of the payload-range diagram.

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

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.