TY - GEN
T1 - Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees
AU - Cunis, Torbjorn
AU - Liao-Mcpherson, Dominic
AU - Condomines, Jean Philippe
AU - Burlion, Laurent
AU - Kolmanovsky, Ilya
N1 - Funding Information:
★Partly supported by ONERA, University of Michigan Advanced Research Computing, and NSF Award No. CMMI 1562209.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Aircraft upset recovery requires aggressive control actions to handle highly nonlinear aircraft dynamics and critical state and input constraints. Model predictive control is a promising approach for returning the aircraft to the nominal flight envelope, even in the presence of altered dynamics or actuator limits; however, proving stability of such strategies requires careful algebraic or semi-algebraic analysis of both the system and the proposed control scheme, which can be challenging for realistic control systems. This paper develops economic model predictive strategies for recovery of a fixed-wing aircraft from deep-stall. We provide rigorous stability proofs using sum-of-squares programming and compare several economic, nonlinear, and linear model predictive controllers.
AB - Aircraft upset recovery requires aggressive control actions to handle highly nonlinear aircraft dynamics and critical state and input constraints. Model predictive control is a promising approach for returning the aircraft to the nominal flight envelope, even in the presence of altered dynamics or actuator limits; however, proving stability of such strategies requires careful algebraic or semi-algebraic analysis of both the system and the proposed control scheme, which can be challenging for realistic control systems. This paper develops economic model predictive strategies for recovery of a fixed-wing aircraft from deep-stall. We provide rigorous stability proofs using sum-of-squares programming and compare several economic, nonlinear, and linear model predictive controllers.
UR - http://www.scopus.com/inward/record.url?scp=85082506598&partnerID=8YFLogxK
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U2 - 10.1109/CDC40024.2019.9030207
DO - 10.1109/CDC40024.2019.9030207
M3 - Conference contribution
AN - SCOPUS:85082506598
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 157
EP - 162
BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Conference on Decision and Control, CDC 2019
Y2 - 11 December 2019 through 13 December 2019
ER -