Robust Autoland Design by Multi-Model ℋ∞ Synthesis with a Focus on the Flare Phase
Systems & Information Processing Department, The French Aerospace Lab (ONERA), 31055 Toulouse, France
Author to whom correspondence should be addressed.
Received: 29 November 2017 / Revised: 26 January 2018 / Accepted: 7 February 2018 / Published: 9 February 2018
Recent advances in the resolution of multi-model and multi-objective control problems via non-smooth optimization are exploited to provide a novel methodology in the challenging context of autoland design. Based on the structured
control framework, this paper focuses on the demanding flare phase under strong wind conditions and parametric uncertainties. More precisely, the objective is to control the vertical speed of the aircraft before touchdown while minimizing the impact of windshear, ground effects, and airspeed variations. The latter is indeed no longer controlled accurately during flare and strongly affected by wind. In addition, parametric uncertainties are to be considered when designing the control laws. To this purpose, extending previous results published by the authors in a conference paper, a specific multi-model strategy taking into account variations of mass and center-of-gravity location is considered. The methodology is illustrated on a realistic aircraft benchmark proposed by the authors, which is fully described in this paper and freely available from the SMAC (S
nalysis & C
ontrol) toolbox website (http://w3.onera.fr/smac
This is an open access article distributed under the Creative Commons Attribution License
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MDPI and ACS Style
Biannic, J.-M.; Roos, C. Robust Autoland Design by Multi-Model ℋ∞ Synthesis with a Focus on the Flare Phase. Aerospace 2018, 5, 18.
Biannic J-M, Roos C. Robust Autoland Design by Multi-Model ℋ∞ Synthesis with a Focus on the Flare Phase. Aerospace. 2018; 5(1):18.
Biannic, Jean-Marc; Roos, Clément. 2018. "Robust Autoland Design by Multi-Model ℋ∞ Synthesis with a Focus on the Flare Phase." Aerospace 5, no. 1: 18.
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