Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

Aerodynamic model identification remains essential for simulator operations and control system design and operations. In this paper, state-of-the-art methodologies for aerodynamic model identification and validation are presented, together with a number of novel applications of the identified models that were recently investigated and developed...

Wind and Airflow Angle Estimation Using an Adaptive Extended Rauch-Tung-Striebel Smoother

This paper proposes a new method that estimates the three-dimensional stochastic wind velocity for an aircraft equipped with a Pitot-static tube and airflow vanes. Since the performance of most state estimators, e.g., the extended Rauch-Tung-Striebel smoother, relies on the process and measurement noise covariance settings, the proposed method...

Just Noticeable Differences for Variations in Quasi-Steady Stall Buffet Model Parameters

To gain more insight into human sensitivity to variations in simulated stall buffets, Just Noticeable Difference (JND) thresholds were estimated using a passive human-in-the-loop flight simulator experiment. Using an in-house developed flow separation-based stall and buffet model of the Cessna Citation II, JND thresholds were determined for the...

Asymmetric Stall Modeling of the Cessna Citation II Aircraft

As of 2019, the FAA and EASA require all airline pilots to complete stall and recovery training as integral part of their training. To mitigate risks, this training takes place in ground-based simulators. To enable this, realistic models of aircraft behaviour in the stall regime need to be developed. In this paper, a newaerodynamic stall...

Stall Buffet Modeling using Swept Wing Flight Test Data

As of April 2019, upset prevention and recovery training in flight simulation training devices is a mandatory practice for commercial and civil aircraft pilots. Aircraft stalls are a well-known upset type, therefore simulation of aircraft stall behavior is required. A key characteristic of stalls is the stall buffet, which in current stall...

Stall Model Identification of a Cessna Citation II from Flight Test Data Using Orthogonal Model Structure Selection

Since 2019, a key element of simulator-based training of airline pilots is stall training. A major and still largely open research question is which level of model fidelity is required for effective training. As part of an effort to answer this question, a model of the quasi-steady stall dynamics of a Cessna Citation II aircraft is identified...

Aerodynamic Stall and Buffet Modeling for the Cessna Citation II Based on Flight Test Data

To meet the required flight simulator-based stall recovery training that will become mandatory for all aircarrier pilots in 2019, many flight simulators will need to be updated with accurate flightmodels at high anglesof- attack. Using a database of 69 symmetrical and quasi-steady recorded stalls performed with TU Delft’s Cessna Citation II...

Identification of a Cessna Citation II Model Based on Flight Test Data

As a result of new aviation legislation, from 2019 on all air-carrier pilots are obliged to go through flight simulator-based stall recovery training. For this reason the Control and Simulation division at Delft University of Technology has set up a task force to develop a new methodology for high-fidelity aircraft stall behavior modeling and...

Piloted simulator evaluation of a model-independent fault-tolerant flight control system