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Particle Filtering-Based In-Flight Icing Detection for Unmanned Aerial Vehicles.

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Summary
This summary is machine-generated.

This study introduces two particle filter methods for detecting ice accretion on unmanned aerial vehicles (UAVs). These approaches improve state estimation and aerodynamic parameter accuracy during icing events.

Keywords:
EKFaerodynamic parameter estimationfixed-wing UAVicing detectionparticle filter

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Area of Science:

  • Aerospace Engineering
  • Control Systems
  • Meteorology

Background:

  • Ice accretion on fixed-wing aircraft degrades aerodynamic performance.
  • Unmanned aerial vehicles (UAVs) often lack dedicated icing detection sensors, relying on standard sensors and models.
  • Accurate state and aerodynamic parameter estimation is crucial for UAV safety during icing conditions.

Purpose of the Study:

  • To propose novel particle filter-based approaches for indirect icing detection in UAVs.
  • To accurately estimate the aircraft's state and aerodynamic parameters under various icing severities.
  • To enhance the reliability and accuracy of icing probability estimation.

Main Methods:

  • Developed two particle filter algorithms for icing detection and state estimation.
  • The first method uses observation likelihood with a Gaussian kernel for icing probability.
  • The second method employs a discrete jump approach for faster detection by estimating parameter changes.

Main Results:

  • Simulation results show improved estimation accuracy compared to the Extended Kalman Filter (EKF).
  • Both proposed methods demonstrated effectiveness under moderate and severe icing conditions.
  • Accurate computation of icing severity and more reliable icing probability estimates were achieved.

Conclusions:

  • The proposed particle filter approaches show significant potential for indirect icing detection in UAVs.
  • These methods enable accurate estimation of icing severity and aerodynamic parameters.
  • The study provides a more reliable alternative to traditional methods for UAV icing detection.