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.
%0 Conference Paper
%1 Cunis2019cdc
%A Cunis, Torbjorn
%A Liao-McPherson, Dominic
%A Condomines, Jean Philippe
%A Burlion, Laurent
%A Kolmanovsky, Ilya
%B Proceedings of the IEEE Conference on Decision and Control
%C Nice
%D 2019
%K imported myown
%P 157--162
%R 10.1109/CDC40024.2019.9030207
%T Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees
%X 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.
%@ 9781728113982
@inproceedings{Cunis2019cdc,
abstract = {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.},
added-at = {2023-01-10T09:19:16.000+0100},
address = {Nice},
author = {Cunis, Torbjorn and Liao-McPherson, Dominic and Condomines, Jean Philippe and Burlion, Laurent and Kolmanovsky, Ilya},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26602b2f8a7fc7d99ec427edfeb6fe0fb/tcunis},
booktitle = {Proceedings of the IEEE Conference on Decision and Control},
doi = {10.1109/CDC40024.2019.9030207},
file = {:Users/cunis/Documents/Academics/Conferences/2019_CDC/Economic_Model-Predictive_Control_Strategies_for_Aircraft_Deep-stall_Recovery_with_Stability_Guarantees.pdf:pdf},
interhash = {f62ba6b6c3e3ac1532dcf0eb60027b1b},
intrahash = {6602b2f8a7fc7d99ec427edfeb6fe0fb},
isbn = {9781728113982},
issn = {07431546},
keywords = {imported myown},
pages = {157--162},
timestamp = {2023-01-10T08:27:37.000+0100},
title = {{Economic Model-Predictive Control Strategies for Aircraft Deep-stall Recovery with Stability Guarantees}},
year = 2019
}
