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Design of a Model Reference Adaptive Controller for an Unmanned Air Vehicle*
Author(s) -
Luis G. Crespo,
Megumi Matsutani,
Anuradha M. Annaswamy
Publication year - 2010
Publication title -
aiaa guidance, navigation and control conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2010-8049
Subject(s) - adaptive control , robustness (evolution) , flight test , control engineering , controller (irrigation) , fidelity , computer science , control theory (sociology) , reference model , engineering , simulation , control (management) , artificial intelligence , agronomy , software engineering , biology , telecommunications , biochemistry , chemistry , gene
This paper presents the “Adaptive Control Technology for Safe Flight (ACTS)” architecture, which consists of a non-adaptive controller that provides satisfactory performance under nominal flying conditions, and an adaptive controller that provides robustness under off nominal ones. The design and implementation procedures of both controllers are presented. The aim of these procedures, which encompass both theoretical and practical considerations, is to develop a controller suitable for flight. The ACTS architecture is applied to the Generic Transport Model developed by NASA-Langley Research Center. The GTM is a dynamically scaled test model of a transport aircraft for which a flight-test article and a high-fidelity simulation are available. The nominal controller at the core of the ACTS architecture has a multivariable LQR-PI structure while the adaptive one has a direct, model reference structure. The main control surfaces as well as the throttles are used as control inputs. The inclusion of the latter alleviates the pilot’s workload by eliminating the need for cancelling the pitch coupling generated by changes in thrust. Furthermore, the independent usage of the throttles by the adaptive controller enables their use for attitude control. Advantages and potential drawbacks of adaptation are demonstrated by performing high fidelity simulations of a flight-validated controller and of its adaptive augmentation.

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