TY - GEN
T1 - Nonlinear adaptive command-filtered backstepping controller design for three-phase grid-connected solar photovoltaic with unknown parameters
AU - Xu, Dezhi
AU - Wang, Gang
AU - Yan, Wenxu
AU - Shen, Chao
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - A robust nonlinear control strategy, based on back-stepping, is presented to adjust the dc-link voltage from the PV system and the current which is used to control the amount of injected active or reactive power into the grid. The control system is projected using an adaptive backstepping technique taking the unknown parameters into consideration. But many times, the problems of differential expansion and the control saturation in backstepping theory are very hard and difficult, we employ a command filter to eliminate the impact of time derivative and control saturation. The devised controller is adaptive to the unknown parameters of the PV system and those parameters are estimate via the adaptive laws for the sake of guaranteeing the stability of dc-link voltage extracting from the PV solar and the appropriate amount active and reactive power injecting to the grid. The stability of the entire system is disposed on account of the Lyapunov functions (LPF). In the end, the effect of the proposed controller is measured on a grid-connected solar PV inverter system under the change of the reference values of PV system. The result of the simulation indicates excellent dynamic following performance and strong robustness with the proposed controller.
AB - A robust nonlinear control strategy, based on back-stepping, is presented to adjust the dc-link voltage from the PV system and the current which is used to control the amount of injected active or reactive power into the grid. The control system is projected using an adaptive backstepping technique taking the unknown parameters into consideration. But many times, the problems of differential expansion and the control saturation in backstepping theory are very hard and difficult, we employ a command filter to eliminate the impact of time derivative and control saturation. The devised controller is adaptive to the unknown parameters of the PV system and those parameters are estimate via the adaptive laws for the sake of guaranteeing the stability of dc-link voltage extracting from the PV solar and the appropriate amount active and reactive power injecting to the grid. The stability of the entire system is disposed on account of the Lyapunov functions (LPF). In the end, the effect of the proposed controller is measured on a grid-connected solar PV inverter system under the change of the reference values of PV system. The result of the simulation indicates excellent dynamic following performance and strong robustness with the proposed controller.
UR - https://www.scopus.com/pages/publications/85050342933
U2 - 10.1109/CAC.2017.8244196
DO - 10.1109/CAC.2017.8244196
M3 - 会议稿件
AN - SCOPUS:85050342933
T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017
SP - 7823
EP - 7827
BT - Proceedings - 2017 Chinese Automation Congress, CAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Chinese Automation Congress, CAC 2017
Y2 - 20 October 2017 through 22 October 2017
ER -