Asymmetric Cessna Citation II Stall Model Identification using a Roll moment-based Kirchhoff method

Adequate modeling of the unsteady aerodynamics during flow separation is critical for effective pilot training in Flight Simulation Training Devices. Over the years, a stall modeling method rooted in Kirchhoff's theory of flow separation has gained popularity due to its relative simplicity and suitability for parameter identification from flight...

Improving Stall Model Accuracy through Optimal Data Slicing by Analyzing Kirchhoff Stall Parameter Estimate Behaviour

To improve the safety of commercial air transport, pilots are required to train on simulators to recognize the characteristics of an impeding stall and subsequently correctly recover from it. To prevent negative training, it is important that the accuracy of the used simulation models is high. A manner to model the nonlinear, unsteady...