Source code for fastoad.models.performances.mission.segments.registered.transition

"""Class for very simple transition in some flight phases."""
#  This file is part of FAST-OAD : A framework for rapid Overall Aircraft Design
#  Copyright (C) 2023 ONERA & ISAE-SUPAERO
#  FAST is free software: you can redistribute it and/or modify
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from copy import deepcopy
from dataclasses import dataclass

import pandas as pd

from fastoad.model_base import FlightPoint
from fastoad.models.performances.mission.segments.base import AbstractFlightSegment, RegisterSegment


[docs]@RegisterSegment("transition") @dataclass class DummyTransitionSegment(AbstractFlightSegment): """ Computes a transient flight part in a very quick and dummy way. :meth:`compute_from` will return only 2 or 3 flight points. The second flight point is the end of transition. Its parameters are equal to those provided in :attr:`~fastoad.models.performances.mission.segments.base.FlightSegment.target`. There is an exception if target does not specify any mass (i.e. self.target.mass == 0). Then the mass of the second flight point is the start mass multiplied by :attr:`mass_ratio`. If :attr:`reserve_mass_ratio` is non-zero, a third flight point is added, with parameters equal to flight_point(2), except for mass where: mass(2) - reserve_mass_ratio * mass(3) = mass(3). In different words, mass(3) would be the Zero Fuel Weight (ZFW) and reserve can be expressed as a percentage of ZFW. """ #: The ratio (aircraft mass at END of segment)/(aircraft mass at START of segment) mass_ratio: float = 1.0 #: The ratio (fuel mass)/(aircraft mass at END of segment) that will be consumed at end #: of segment. reserve_mass_ratio: float = 0.0 #: If False, the mass variation during the segment is not considered as a fuel consumption. #: (True by default fuel_is_consumed: bool = True
[docs] def compute_from_start_to_target(self, start: FlightPoint, target: FlightPoint) -> pd.DataFrame: end = deepcopy(target) end.name = self.name end.consumed_fuel = start.consumed_fuel if end.mass is None: self.consume_fuel(end, previous=start, mass_ratio=self.mass_ratio) elif self.fuel_is_consumed: end.consumed_fuel += start.mass - end.mass self.complete_flight_point_from(end, start) self.complete_flight_point(end) flight_points = [start, end] if self.reserve_mass_ratio > 0.0: reserve = deepcopy(end) reserve.mass = end.mass / (1.0 + self.reserve_mass_ratio) self.consume_fuel( reserve, previous=end, mass_ratio=1.0 / (1.0 + self.reserve_mass_ratio) ) flight_points.append(reserve) return pd.DataFrame(flight_points)