TY - GEN
T1 - Koopman Based Control of a Boost Converter Feeding a Constant Power Load
AU - Marepalli, Lalit Kishore
AU - Tarbell, Richard
AU - Herrera, Luis
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, a Koopman based control technique is presented for voltage regulation of a boost converter feeding a constant power load (CPL). The nonlinearity of the boost converter and CPL can make the system unstable, with closed loop stability typically ensured only locally. To address these challenges, a data-driven Koopman operator approximation is developed for output voltage regulation using Koopman based model predictive control (KMPC). The tracking performance is demonstrated when the system is subject to changes in voltage reference and load power. Closed-loop simulation results are shown offline using Matlab/Simulink, and in real time using Opal RT. The KMPC problem is solved using mpcqpsolver, which allows for code generation and real time simulation, to demonstrate feasibility of online implementation of the controller.
AB - In this paper, a Koopman based control technique is presented for voltage regulation of a boost converter feeding a constant power load (CPL). The nonlinearity of the boost converter and CPL can make the system unstable, with closed loop stability typically ensured only locally. To address these challenges, a data-driven Koopman operator approximation is developed for output voltage regulation using Koopman based model predictive control (KMPC). The tracking performance is demonstrated when the system is subject to changes in voltage reference and load power. Closed-loop simulation results are shown offline using Matlab/Simulink, and in real time using Opal RT. The KMPC problem is solved using mpcqpsolver, which allows for code generation and real time simulation, to demonstrate feasibility of online implementation of the controller.
KW - constant power load
KW - Koop-man operator
KW - model predictive control
KW - voltage regulation
UR - https://www.scopus.com/pages/publications/85182943238
U2 - 10.1109/ECCE53617.2023.10362818
DO - 10.1109/ECCE53617.2023.10362818
M3 - Conference contribution
AN - SCOPUS:85182943238
T3 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
SP - 3622
EP - 3626
BT - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Y2 - 29 October 2023 through 2 November 2023
ER -