The behavior of a 'pilot-automaton-aircraft-operating environment' system (the System) in off-nominal situations with multiple risks can be unpredictably dangerous. Most multifactorial flight scenarios (corner cases) are considered as theoretically improbable. Such anomalies do nonetheless occur in operations and can lead to inconceivable accidents - 'black swan' events. This intensive educational course introduces the audience to the technology of aircraft virtual flight testing and certification (VFTС) for safety, considering the cross-coupling effects of various combinations of heterogeneous risk factors characteristic to the four components of the System.
The seminar begins by formalizing the task of predicting aircraft flight safety in multifactorial situations during the lifecycle. An introduction is given to the technology that allows for easing the 'curse of dimensionality' of this task, increasing the volume and accuracy of the System-level safety knowledge, and cutting budget and time of classic flight test and certification. The technology includes a high-fidelity mathematical model of the System dynamics, a software for autonomous fast-time computer experimentation with the model, automatic mining and mapping of safety knowledge for parallel analysis of large trees of off-nominal multifactorial 'what-if' situations. The workshop concludes with examples of the technology applications to support various phases of the lifecycle for several aircraft types and design projects. It is demonstrated how VFTC can complement classical techniques of flight research for safety. Advantages, benefits, limitations and pitfalls of the VFTC technology are summarized for next generation aircraft.
This course has been tailored for engineers and others involved in aircraft aerodynamics, flight controls, powerplant, undercarriage, safety avionics, flight simulators, pilot-aircraft interface, and pilot cognitive aids. Individuals who work with aircraft flight performance evaluation, flight testing and certification/assessment, flight accident/incident analysis and prevention and flight safety management may also benefit from this course.
Basic knowledge of aircraft flight physics and control, testing and certification, as well as a familiarity with the system approach is required. It is recommended that the participant has an undergraduate or graduate degree in Aeronautics or equivalent industry experience.
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Dr. Ivan Burdun has over 30 years of cross-cultural research and academic experience at the School of Aerospace Engineering at the Georgia Institute of Technology, the College of Aeronautics at the Cranfield University, the Department of Aerodynamics and Flight Dynamics at the Riga Civil Aviation Engineering Institute, the Aircraft Aerodynamics and Flight Dynamics Research Division of the Siberian Aeronautical Research Institute, and other institutions. His competences include high-fidelity mathematical modeling, autonomous fast-time flight simulation, artificial intelligence, knowledge mining and representation for predicting the 'pilot/ automaton - aircraft - operating environment' system dynamics and safety performance in multifactorial (complex) and unknown situations. These techniques have been applied to 30 aircraft types and design projects: fixed- and rotary-wing, tilt-rotor; sub-, super- and hypersonic. Dr. BURDUN's current research is focused on intelligent technologies for flight safety prediction and protection, identification of irreversible anomalies in the system behavior, and pilot-AI cognitive interface for manned and unmanned vehicles and robotic swarms.