"""This script is an example of how to automatically find the trim condition for a
steady simulation."""
import pterasoftware as ps
# Configure logging to display info level messages. This is important for seeing the
# output from the trim function.
ps.set_up_logging(level="Info")
# Create an Airplane. We must specify a weight (in Newtons) for the Airplane. We will
# later find a trim condition where the weight is exactly balanced by lift.
trim_airplane = ps.geometry.airplane.Airplane(
wings=[
ps.geometry.wing.Wing(
wing_cross_sections=[
ps.geometry.wing_cross_section.WingCrossSection(
airfoil=ps.geometry.airfoil.Airfoil(
name="naca2412",
),
num_spanwise_panels=8,
control_surface_symmetry_type="symmetric",
spanwise_spacing="cosine",
),
ps.geometry.wing_cross_section.WingCrossSection(
airfoil=ps.geometry.airfoil.Airfoil(
name="naca2412",
),
num_spanwise_panels=None,
Lp_Wcsp_Lpp=(0.0, 5.0, 0.0),
control_surface_symmetry_type="symmetric",
),
],
symmetric=True,
symmetryNormal_G=(0.0, 1.0, 0.0),
symmetryPoint_G_Cg=(0.0, 0.0, 0.0),
),
ps.geometry.wing.Wing(
wing_cross_sections=[
ps.geometry.wing_cross_section.WingCrossSection(
airfoil=ps.geometry.airfoil.Airfoil(
name="naca0012",
),
num_spanwise_panels=8,
chord=0.5,
control_surface_symmetry_type="symmetric",
spanwise_spacing="cosine",
),
ps.geometry.wing_cross_section.WingCrossSection(
airfoil=ps.geometry.airfoil.Airfoil(
name="naca0012",
),
num_spanwise_panels=None,
chord=0.5,
Lp_Wcsp_Lpp=(0.0, 1.0, 0.0),
control_surface_symmetry_type="symmetric",
),
],
Ler_Gs_Cgs=(5.0, 0.0, 0.0),
angles_Gs_to_Wn_ixyz=(0.0, -5.0, 0.0),
symmetric=True,
symmetryNormal_G=(0.0, 1.0, 0.0),
symmetryPoint_G_Cg=(0.0, 0.0, 0.0),
),
],
weight=250,
)
# Create an OperatingPoint. We must specify an external thrust because this Airplane
# is not flapping, so it won't generate thrust via its Wings. Therefore, to balance
# induced drag, we need an external thrust force which could be due to a propeller or
# other type of engine.
trim_operating_point = ps.operating_point.OperatingPoint(externalFX_W=5)
# Construct a SteadyProblem containing the Airplane and OperatingPoint
trim_problem = ps.problems.SteadyProblem(
airplanes=[trim_airplane], operating_point=trim_operating_point
)
# Call the analyze_steady_trim function to search for a trim condition (thrust
# balances drag, weight balances lift, and all moments are close to zero) within a
# certain set of bounds.
trim_conditions = ps.trim.analyze_steady_trim(
problem=trim_problem,
solver_type="steady horseshoe vortex lattice method",
boundsVCg__E=(5, 15),
alpha_bounds=(-10, 10),
beta_bounds=(-1, 1),
boundsExternalFX_W=(0, 10),
objective_cut_off=0.01,
num_calls=1000,
)