PlumX Metrics
Embed PlumX Metrics

Computationally efficient force and moment models for propellers in uav forward flight applications

Drones, ISSN: 2504-446X, Vol: 3, Issue: 4, Page: 1-47
2019
  • 20
    Citations
  • 0
    Usage
  • 46
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    20
    • Citation Indexes
      20
  • Captures
    46

Article Description

Two low-order, parametric models are developed for the forces and moments that a rotating propeller undergoes in forward flight. The models are derived using a first-principles-based approach, and are computationally efficient in the sense of being represented by explicit expressions. The parameters for the models can be identified either using supervised learning/grey-box fitting from labelled data, or can be predicted using only the static load coefficients (i.e., the hover thrust and torque coefficients). The second model is a multinomial model that is derived by means of a Taylor series expansion of the first model, and can be viewed as a lower-order lumped parameter model. The models and parameter generation methods are experimentally tested against 19 propellers tested in a wind tunnel under oblique flow conditions, for which the data is made available. The models are tested against 181 additional propellers from existing datasets.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know