TY - GEN
T1 - Online Self-Tuning Current-Controller for Three-Phase Three-Level T-type Rectifier
AU - Sharida, Ali
AU - Bayhan, Sertac
AU - Abu-Rub, Haitham
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a self-tuning current-control algorithm for a three-phase three-level T-type controlled rectifier. The aim of this algorithm is to control the AC-side current without any previous knowledge about the parameters of the system. The dynamic model of the rectifier is assumed as a black box, where all internal parameters are considered unknowns. The proposed algorithm depends on Recursive Least Squares Algorithm (RLSA) to estimate the state-space model of the system. Then, the estimated model is used to derive the gains optimally for a Linear Quadratic Tracker controller (LQT). The obtained results prove the ability of the proposed algorithm to estimate the entire dynamic model accurately and to control the system with an accurate, smooth, and rapid response. In addition to zero tracking error and no overshot.
AB - This paper proposes a self-tuning current-control algorithm for a three-phase three-level T-type controlled rectifier. The aim of this algorithm is to control the AC-side current without any previous knowledge about the parameters of the system. The dynamic model of the rectifier is assumed as a black box, where all internal parameters are considered unknowns. The proposed algorithm depends on Recursive Least Squares Algorithm (RLSA) to estimate the state-space model of the system. Then, the estimated model is used to derive the gains optimally for a Linear Quadratic Tracker controller (LQT). The obtained results prove the ability of the proposed algorithm to estimate the entire dynamic model accurately and to control the system with an accurate, smooth, and rapid response. In addition to zero tracking error and no overshot.
KW - Linear Quadratic Tracker controller
KW - Recursive Least Squares Algorithm
KW - T-type rectifier
KW - multilevel rectifier
UR - http://www.scopus.com/inward/record.url?scp=85143912108&partnerID=8YFLogxK
U2 - 10.1109/IECON49645.2022.9968721
DO - 10.1109/IECON49645.2022.9968721
M3 - Conference contribution
AN - SCOPUS:85143912108
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Y2 - 17 October 2022 through 20 October 2022
ER -