Open Aircraft Performance Model (OpenAP) Toolkit

This repository contains all OpenAP databases and a Python implementation which facilitates the data access and aircraft performance computation.

Download the related research paper

Databases:

• Aircraft
• Engines
• Drag polar
• Kinematic (WRAP)
• Navigation

Install

To install latest version from the GitHub:

pip install git+https://github.com/junzis/openap

Libraries

• prop: aircraft and engine properties
• thrust: model to compute aircraft thrust
• drag: model to compute aircraft drag
• fuel: model to compute fuel consumption
• kinematic: a utility library to access WRAP data
• aero: common aeronautical conversions
• nav: model to access navigation information
• segment: a utility library to determine climb, cruise, descent, level flight
• phase: a wrapper around segment, providing identification of all flight phases
• traj: package contains a set of tools related with trajectory generation

Examples

Get the aircraft and engine data:

from openap import prop

aircraft = prop.aircraft('A320')
engine = prop.engine('CFM56-5B4')

Compute maximum aircraft engine thrust:

from openap import Thrust

thrust = Thrust(ac='A320', eng='CFM56-5B4')

T = thrust.takeoff(tas=100, alt=0)
T = thrust.climb(tas=200, alt=20000, roc=1000)
T = thrust.cruise(tas=230, alt=32000)

Compute the aircraft drag:

from openap import Drag

drag = Drag(ac='A320')

D = drag.clean(mass=60000, tas=200, alt=20000, path_angle=5)
D = drag.nonclean(mass=60000, tas=150, alt=100, flap_angle=20,
                  path_angle=10, landing_gear=True)

Compute the fuel flow:

from openap import FuelFlow

ff = FuelFlow(ac='A320', eng='CFM56-5B4')

FF = ff.at_thrust(thr=50000, alt=30000)
FF = ff.takeoff(tas=100, alt=0, throttle=1)
FF = ff.enroute(mass=60000, tas=200, alt=20000, path_angle=3)
FF = ff.enroute(mass=60000, tas=230, alt=32000, path_angle=0)

Accessing the WRAP parameters:

from openap import WRAP

wrap = WRAP(ac='A320')

param = wrap.takeoff_speed()
param = wrap.takeoff_distance()
param = wrap.takeoff_acceleration()
param = wrap.initclimb_vcas()
param = wrap.initclimb_vs()
param = wrap.climb_range()
param = wrap.climb_const_vcas()
param = wrap.climb_const_mach()
param = wrap.climb_cross_alt_concas()
param = wrap.climb_cross_alt_conmach()
param = wrap.climb_vs_pre_concas()
param = wrap.climb_vs_concas()
param = wrap.climb_vs_conmach()
param = wrap.cruise_range()
param = wrap.cruise_alt()
param = wrap.cruise_init_alt()
param = wrap.cruise_mach()
param = wrap.descent_range()
param = wrap.descent_const_mach()
param = wrap.descent_const_vcas()
param = wrap.descent_cross_alt_conmach()
param = wrap.descent_cross_alt_concas()
param = wrap.descent_vs_conmach()
param = wrap.descent_vs_concas()
param = wrap.descent_vs_post_concas()
param = wrap.finalapp_vcas()
param = wrap.finalapp_vs()
param = wrap.landing_speed()
param = wrap.landing_distance()
param = wrap.landing_acceleration()

Generating trajectories

from openap.traj import Generator

trajgen = Generator(ac='a320')

trajgen.enable_noise()   # enable Gaussian noise in trajectory data

data_cl = trajgen.climb(dt=10, random=True)  # using radom paramerters
data_cl = trajgen.climb(dt=10, cas_const_cl=280, mach_const_cl=0.78, alt_cr=35000)

data_de = trajgen.descent(dt=10, random=True)
data_de = trajgen.descent(dt=10, cas_const_de=280, mach_const_de=0.78, alt_cr=35000)

data_cr = trajgen.cruise(dt=60, random=True)
data_cr = trajgen.cruise(dt=60, range_cr=2000, alt_cr=35000, m_cr=0.78)

data_all = trajgen.complete(dt=10, random=True)
data_all = trajgen.complete(dt=10, alt_cr=35000, m_cr=0.78,
                            cas_const_cl=280, mach_const_cl=0.78,
                            cas_const_de=280, mach_const_de=0.78)