TY - GEN
T1 - Application of adaptive control with closed-loop reference models to a model aircraft with actuator dynamics and input uncertainty
AU - Zollitsch, Alexander W.
AU - Holzapfel, Florian
AU - Annaswamy, Anuradha M.
N1 - Publisher Copyright:
© 2015 American Automatic Control Council.
PY - 2015/7/28
Y1 - 2015/7/28
N2 - This paper presents an adaptively augmented LQR controller for the FSD ExtremeStar, a high agility model airplane. Uncertainties in the control effectiveness are compensated by a direct model reference adaptive controller (MRAC), which uses closed-loop reference models (CRMs). Simulation results on a nonlinear plant with actuator dynamics and sensor models indicate that the CRM adaptive controller provides additional robustness to plant uncertainties and unmodeled dynamics compared to the classical MRAC architecture, where an open-loop reference model is employed.
AB - This paper presents an adaptively augmented LQR controller for the FSD ExtremeStar, a high agility model airplane. Uncertainties in the control effectiveness are compensated by a direct model reference adaptive controller (MRAC), which uses closed-loop reference models (CRMs). Simulation results on a nonlinear plant with actuator dynamics and sensor models indicate that the CRM adaptive controller provides additional robustness to plant uncertainties and unmodeled dynamics compared to the classical MRAC architecture, where an open-loop reference model is employed.
UR - http://www.scopus.com/inward/record.url?scp=84940949295&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7171930
DO - 10.1109/ACC.2015.7171930
M3 - Conference contribution
AN - SCOPUS:84940949295
T3 - Proceedings of the American Control Conference
SP - 3848
EP - 3853
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 American Control Conference, ACC 2015
Y2 - 1 July 2015 through 3 July 2015
ER -