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Reconfigurable handling and flying qualities for degrade flight systems using model predictive control

Project members:  D.A. Joosten, T.J.J. van den Boom, prof. M. Verhaegen
 
Keywords:  Model predictive control, Data driven and fault tolerant control, Transportation and infrastructure, Old - project will be removed
 
Sponsored by:  STW
 
We shall develop a framework for the real-time synthesis, simulation and implementation of aircraft vehicle health and reconfiguration management systems. On the base of a flexible, powerful and theoretically well founded command and control infrastructure a relevant and cost effective in depth study on the handling and flying qualities of crippled aircraft can be performed. We shall make use and, where necessary, extend the latest theoretical results from nonlinear model based predictive control, linear parameter varying control, reconfiguration and optimal trajectory generation in order to develop an on-line self-repairing command and control systems for crippled aircraft. A system as such will enhance the on-board vehicle functionality up to autonomy extending in this way the operational safety of crippled aircraft. The innovation in this project in threefold, 1) in the incorporation of the failure phenomena into the model of the aircraft, 2) the estimation of the achievable level of performance and 3) the control system reconfiguration to allow flight with degraded handling qualities. We aim at demonstrating the MPC concept on the flight 1882 El-Al accident, for which a high fidelity mathematical Boeing-747 model, a complete damage model and full Black-Box flight data recordings are at our disposition.

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Last modified: 31 October 2013, 7:30 UTC
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