Parameter Estimation Methods for High Angle-of-attack Aerodynamic Modelling

In recent years, extensive research has been performed in post-stall aerodynamic model development to facilitate the use of simulator-based stall recovery training for commercial pilots. To develop these aerodynamic models, the parameters within a postulated model structure are often estimated from flight test data in a process referred to as aircraft parameter estimation. However, the complex dynamics involved in stall poses some notable challenges to the parameter estimation procedure. This thesis presents and investigates a variety of parameter estimation methods that yield more accurate estimates than traditional techniques when applied to stall modelling problems. Specifically, these methods look to reduce parameter biases that occur during post-stall modelling problems due to the presence of large model deficiencies. The presented methods are applied to both simulated and real aircraft flight data to demonstrate the improvements seen over traditional aircraft parameter estimation methods.M.A.S.2020-11-20 00:00:0