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Verification and Tuning of an 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 - 10.2514/6.2010-8403
Subject(s) - computer science , controller (irrigation) , control engineering , remotely operated underwater vehicle , vehicle dynamics , adaptive control , automotive engineering , control theory (sociology) , mobile robot , engineering , robot , artificial intelligence , control (management) , agronomy , biology
This paper focuses on the analysis and tuning of a controller based on the Adaptive Control Technology for Safe Flight (ACTS) architecture. The ACTS architecture consists of a nominal, non-adaptive controller that provides satisfactory performance under nominal flying conditions, and an adaptive controller that provides robustness under off-nominal ones. A framework unifying control verification and gain tuning is used to make the controller s ability to satisfy the closed-loop requirements more robust to uncertainty. In this paper we tune the gains of both controllers using this approach. Some advantages and drawbacks of adaptation are identified by performing a global robustness assessment of both the adaptive controller and its non-adaptive counterpart. The analyses used to determine these characteristics are based on evaluating the degradation in closed-loop performance resulting from uncertainties having increasing levels of severity. The specific adverse conditions considered can be grouped into three categories: aerodynamic uncertainties, structural damage, and actuator failures. These failures include partial and total loss of control effectiveness, locked-in-place control surface deflections, and engine out conditions. The requirements considered are the peak structural loading, the ability of the controller to track pilot commands, the ability of the controller to keep the aircraft s state within the reliable flight envelope, and the handling/riding qualities of the aircraft. The nominal controller resulting from these tuning strategies was successfully validated using the NASA GTM Flight Test Vehicle.

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