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A Model Matching STR Controller for High Performance Aircraft
Author(s) -
A.A. Ghandakly,
Jason A. Reed
Publication year - 2013
Publication title -
isrn aerospace engineering
Language(s) - English
Resource type - Journals
ISSN - 2314-6427
DOI - 10.1155/2013/651617
Subject(s) - control theory (sociology) , controller (irrigation) , flight test , computer science , matching (statistics) , control engineering , identification (biology) , engineering , control (management) , simulation , artificial intelligence , mathematics , statistics , botany , agronomy , biology
This paper presents a development, as well as an investigation of a Model Matching Controller (MMC) design based on the Self-Tuning Regulator (STR) framework for high performance aircraft with direct application to an F-16 aircraft flight control system. In combination with the Recursive Least Squares (RLS) identification, the MMC is developed and investigated for effectiveness on a detailed model of the aircraft. The popular robust Quantitative Feedback Theory (QFT) controller is also outlined and used to represent a baseline controller, for performance comparison during four simulated test flight maneuvers. In each of the four maneuvers, the proposed MMC provided consistently stable and satisfactory performance, including the challenging pull-up and pushover maneuvers. The baseline stationary controller has been found to become unstable in two of the four maneuvers tested. It also performs satisfactorily-to-arguably poorly in the remaining two as compared to the MMC. Simulation results presented in this investigation support a clear argument that the proposed MMC provides superior performance in the realm of automatic flight control.

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