TY - GEN
T1 - Reference Governor for Constrained Data-Driven Control of Aerospace Systems with Unknown Input-Output Dynamics
AU - Dongare, Abhijit
AU - Hamrah, Reza
AU - Kolmanovsky, Ilya
AU - Sanyal, Amit K.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This work considers the design of a reference governor to satisfy pointwise-in-time output and control constraints in the setting of data-driven control of aerospace systems with unknown input-output dynamics. This unknown dynamics lumps together the combined effects of unknown internal (state space) dynamics, disturbance forces and torques, and unknown internal (mass/inertia) parameters. The unknown dynamics are modeled by a control-affine ultra-local model (ULM) in discrete time. The reference governor is an add-on scheme that enforces the output and control constraints by modifying, when required, a reference command to the system with unknown input-output dynamics. The reference command is determined on the basis of constraint admissible sets constructed in a data-driven setting and exploiting our ULM. A Lyapunov analysis is carried out to ensure that the output of the reference governor-based control system converges to a desired output trajectory that meets the constraints. Numerical simulation results for aircraft longitudinal flight control are reported with this reference governor-based data-driven control scheme, which demonstrate the performance of the controller and the enforcement of the constraints.
AB - This work considers the design of a reference governor to satisfy pointwise-in-time output and control constraints in the setting of data-driven control of aerospace systems with unknown input-output dynamics. This unknown dynamics lumps together the combined effects of unknown internal (state space) dynamics, disturbance forces and torques, and unknown internal (mass/inertia) parameters. The unknown dynamics are modeled by a control-affine ultra-local model (ULM) in discrete time. The reference governor is an add-on scheme that enforces the output and control constraints by modifying, when required, a reference command to the system with unknown input-output dynamics. The reference command is determined on the basis of constraint admissible sets constructed in a data-driven setting and exploiting our ULM. A Lyapunov analysis is carried out to ensure that the output of the reference governor-based control system converges to a desired output trajectory that meets the constraints. Numerical simulation results for aircraft longitudinal flight control are reported with this reference governor-based data-driven control scheme, which demonstrate the performance of the controller and the enforcement of the constraints.
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U2 - 10.1109/CCTA54093.2023.10252101
DO - 10.1109/CCTA54093.2023.10252101
M3 - Conference contribution
AN - SCOPUS:85173800008
T3 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
SP - 853
EP - 858
BT - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Y2 - 16 August 2023 through 18 August 2023
ER -