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53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
import math
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import numpy as np
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from typing import List
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from spatz.sensors import Sensor
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from spatz.logger import Logger
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from spatz.dataset import Dataset
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from spatz.transforms import Transform
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class PressureSensor(Sensor):
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def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = [], ts_effects=True, delay=0.0):
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"""_summary_
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Args:
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dataset (Dataset): A dataset instance.
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logger (Logger): _description_
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transforms (List[Transform], optional): Transforms to apply to the sensor outputs. Defaults to [].
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ts_effects (bool, optional): If True, adds transsonic effects using a very simple model. Defaults to True.
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delay (float, optional): Adds a delay to the pressure measurements. Defaults to 0.0.
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"""
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super(PressureSensor, self).__init__(dataset, logger, transforms, min_value=0)
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self._ts_effects = ts_effects
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def set_transsonic_effects(self, active: bool):
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self._ts_effects = active
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def _get_data(self) -> float:
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x = self._dataset.get_pressure()
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if self._ts_effects:
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# Pre-defined constants.
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_p = 3e6
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sigma = 40
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# How far away from transsonic speed (mach 1) are we?
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vvec = self._dataset.get_velocity()
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dv = np.abs(np.linalg.norm(vvec) - self._dataset.get_speed_of_sound())
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# Model transsonic effects by a peak at mach 1 which decays the further we are away from it.
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ts_eff = _p * math.exp(-0.5* (dv / sigma)**2 ) / (sigma * math.sqrt(2*math.pi))
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# Log the values for the transsonic effect.
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self._logger.write('ts_effects', ts_eff, domain=self._get_name())
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self._logger.write('mach_no', self._dataset.get_mach_number(), domain='mach')
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self._logger.write('speedofsound', self._dataset.get_speed_of_sound(), domain='mach')
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x = x + ts_eff
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return x
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