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Optimal Control Framework for Estimating Autopilot Safety Margins
Author(s) -
Nithin Govindarajan,
Coen C. de Visser,
Erik-Jan Van Kampen,
Kalmanje Krishnakumar,
J. Barlow,
Vahram Stepanyan
Publication year - 2014
Publication title -
journal of guidance control and dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.573
H-Index - 143
eISSN - 1533-3884
pISSN - 0731-5090
DOI - 10.2514/1.g000271
Subject(s) - autopilot , flight envelope , elevator , control theory (sociology) , situation awareness , computer science , envelope (radar) , flight dynamics , control (management) , control engineering , flight control surfaces , aeronautics , engineering , aerospace engineering , aerodynamics , radar , artificial intelligence
This paper presents an optimal control framework to determine a collection of open-loop command signals that mathematically guarantees operation of an aircraft within certain prescribed state constraints. The framework is specifically applied to estimate margins for the reference command inputs of aircraft autopilot systems, so that safe operation within a given flight envelope can be assured under appropriate control action. Flight envelope excursions are generally considered as precursors to Loss-Of-Control incidents, and hence, these margins contain safety critical information that can help improve the situational awareness on-board the aircraft. In off-nominal conditions, the computed safety margins provide indications of a degraded aircraft with reduced flying and handling qualities. These indications appear in the form of increasingly more strict limits on the autopilot reference command input. The entire framework is illustrated on an example problem involving a pitch dynamics model with state constraints on the pitch attitude. Simulations are conducted wherein margins are computed for the reference pitch command of the pitch hold system, while the aircraft enters an off-nominal condition with severely degraded system dynamics and reduced elevator effectiveness.Control & OperationsAerospace Engineerin

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