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Paper Title: Norm-bounded model predictive control allocation strategy for an over-actuated aircraft
Authors: Valerio Scordamaglia, Massimiliano Mattei, and Giuseppe Franzé
This paper presents a novel norm-bounded model predictive control allocation strategy for over-actuated unmanned aircraft, ensuring robust trajectory tracking and constraint satisfaction under uncertain flight conditions. Validated through numerical simulations using the detailed mathematical model of the High Altitude Performance Demonstrator, the approach outperforms traditional methods by optimally distributing control effort while maintaining stability and efficiency.
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Schematic illustrating the control allocation architecture using the proposed norm-bounded model predictive control allocation strategy for the over-actuated experimental aircraft HAPD.