Multicriteria analysis of an ℒ 1 adaptive flight control system

Abstract

This article presents an overview of the application of the Parameter Space Investigation method for the multicriteria design optimization of the ℒ₁ adaptive flight control system implemented on the two turbine-powered dynamically-scaled generic transport model Airborne Subscale Transport Aircraft Research aircraft. In particular, this study addresses the improvement of a nominal prototype solution, obtained using basic design guidelines of ℒ₁ adaptive control theory. The results validate the theoretical claims of ℒ₁ adaptive control in terms of closed-loop performance and robustness and illustrate the systematic character of its design procedure. Furthermore, this article shows the suitability of the Parameter Space Investigation method for the multicriteria design optimization over a multidimensional design variable space of a flight control system subject to desired control specifications. The use of this particular method is of special interest, as it provides invaluable information about the behavior of the closed-loop system in an extended space of design parameters and performance criteria. The results and conclusions of this article have led to a deeper understanding of the characteristics of the closed-loop adaptive system and have contributed to the improvement of the flying qualities and the robustness margins of the adaptive ℒ₁-augmented aircraft, which has been recently flight tested by National Aeronautics and Space Administration.

Keywords

flying qualities multicriteria optimization Pareto optimality quasi-random sequences

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