TY - GEN
T1 - Frequency-limited adaptive control of a generic transport model in the presence of system uncertainty and losses in control effectiveness
AU - De La Torre, Gerardo
AU - Yucelen, Tansel
AU - Haddad, Wassim M.
AU - Johnson, Eric N.
N1 - Funding Information:
This research was supported in part by the National Aeronautics and Space Administration under Grant NN12AM52A.
PY - 2014
Y1 - 2014
N2 - While adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the necessity of high-gain learning rates for safety-critical systems to achieve fast adaptation can be a serious limitation of most adaptive controllers. In order to address this problem, two novel adaptive control approaches developed recently aim to limit the bandwidth of the closed-loop adaptive control system in order to suppress the high-frequency content contained in the system error dynamics and adaptation algorithms. Specifically, this key feature of these frameworks allows for robust and fast adaptation by utilizing high-gain learning rates without inducing high-frequency oscillations in system states and the adaptive control signal. In this paper, we apply these two methods to a high-fidelity scaled transport aircraft model, namely the generic transport model, developed at NASA Langley Research Center in the presence of unexpected structural damage and uncertainty in control surface effectiveness.
AB - While adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the necessity of high-gain learning rates for safety-critical systems to achieve fast adaptation can be a serious limitation of most adaptive controllers. In order to address this problem, two novel adaptive control approaches developed recently aim to limit the bandwidth of the closed-loop adaptive control system in order to suppress the high-frequency content contained in the system error dynamics and adaptation algorithms. Specifically, this key feature of these frameworks allows for robust and fast adaptation by utilizing high-gain learning rates without inducing high-frequency oscillations in system states and the adaptive control signal. In this paper, we apply these two methods to a high-fidelity scaled transport aircraft model, namely the generic transport model, developed at NASA Langley Research Center in the presence of unexpected structural damage and uncertainty in control surface effectiveness.
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U2 - 10.2514/6.2014-0788
DO - 10.2514/6.2014-0788
M3 - Conference contribution
AN - SCOPUS:84894483342
SN - 9781600869624
T3 - AIAA Guidance, Navigation, and Control Conference
BT - AIAA Guidance, Navigation, and Control Conference
T2 - AIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
Y2 - 13 January 2014 through 17 January 2014
ER -