aerosandbox.dynamics.point_mass.point_2D.cartesian#

Module Contents#

Classes#

DynamicsPointMass2DCartesian

Dynamics instance:

Attributes#

dyn

class aerosandbox.dynamics.point_mass.point_2D.cartesian.DynamicsPointMass2DCartesian(mass_props=None, x_e=0, z_e=0, u_e=0, w_e=0, alpha=0)[source]#

Bases: aerosandbox.dynamics.point_mass.point_3D.cartesian.DynamicsPointMass3DCartesian

Dynamics instance: * simulating a point mass * in 2D * with velocity parameterized in Cartesian coordinates

State variables:

x_e: x-position, in Earth axes. [meters] z_e: z-position, in Earth axes. [meters] u_e: x-velocity, in Earth axes. [m/s] w_e: z-velocity, in Earth axes. [m/s]

Indirect control variables:

alpha: Angle of attack. [degrees]

Control variables:

Fx_e: Force along the Earth-x axis. [N] Fz_e: Force along the Earth-z axis. [N]

Parameters:

  • mass_props (aerosandbox.weights.mass_properties.MassProperties) –

  • x_e (Union[float, aerosandbox.numpy.ndarray]) –

  • z_e (Union[float, aerosandbox.numpy.ndarray]) –

  • u_e (Union[float, aerosandbox.numpy.ndarray]) –

  • w_e (Union[float, aerosandbox.numpy.ndarray]) –

  • alpha (Union[float, aerosandbox.numpy.ndarray]) –

property state: Dict[str, float | aerosandbox.numpy.ndarray][source]#

Returns the state variables of this Dynamics instance as a Dict.

Keys are strings that give the name of the variables. Values are the variables themselves.

This method should look something like:
>>> {
>>>     "x_e": self.x_e,
>>>     "u_e": self.u_e,
>>>     ...
>>> }
Return type:

Dict[str, Union[float, aerosandbox.numpy.ndarray]]

property control_variables: Dict[str, float | aerosandbox.numpy.ndarray][source]#
Return type:

Dict[str, Union[float, aerosandbox.numpy.ndarray]]

state_derivatives()[source]#

A function that returns the derivatives with respect to time of the state specified in the state property.

Should return a Dict with the same keys as the state property.

Return type:

Dict[str, Union[float, aerosandbox.numpy.ndarray]]

aerosandbox.dynamics.point_mass.point_2D.cartesian.dyn[source]#