TY - GEN
T1 - An Improved Model Predictive Control for DC-DC Boost Converter
AU - Li, Yuan
AU - Dragičević, Tomislav
AU - Sahoo, Subham
AU - Zhang, Yichao
AU - Blaabjerg, Frede
PY - 2022/6
Y1 - 2022/6
N2 - DC-DC boost converter acts as one of the common interfaces in renewable energy systems. Considering its non-linear characteristics, several nonlinear control methods have been adopted. Among them, the model predictive control (MPC) is widely used. However, the common finite-set (FCS)-MPC algorithm yields a variable switching frequency. Besides, a long prediction horizon MPC is needed for the boost converter to alleviate the non-minimum phase characteristics’ influence, which leads to a high computational burden. To address these issues, this paper proposes an improved MPC algorithm to guarantee stable operation. The proposed algorithm transforms the original control variable which is the switching signal into the duty cycle to generate a fixed switching frequency. Besides, by changing the prediction model, the proposed MPC algorithm performs guaranteed stability with one prediction horizon. Moreover, a Jacobian matrix is utilized to assess the stability of the proposed algorithm by determining whether its eigenvalues are in the unit cycle. Simulations are provided to prove the effectiveness of the controller.
AB - DC-DC boost converter acts as one of the common interfaces in renewable energy systems. Considering its non-linear characteristics, several nonlinear control methods have been adopted. Among them, the model predictive control (MPC) is widely used. However, the common finite-set (FCS)-MPC algorithm yields a variable switching frequency. Besides, a long prediction horizon MPC is needed for the boost converter to alleviate the non-minimum phase characteristics’ influence, which leads to a high computational burden. To address these issues, this paper proposes an improved MPC algorithm to guarantee stable operation. The proposed algorithm transforms the original control variable which is the switching signal into the duty cycle to generate a fixed switching frequency. Besides, by changing the prediction model, the proposed MPC algorithm performs guaranteed stability with one prediction horizon. Moreover, a Jacobian matrix is utilized to assess the stability of the proposed algorithm by determining whether its eigenvalues are in the unit cycle. Simulations are provided to prove the effectiveness of the controller.
KW - DC-DC boost converter
KW - model predictive control
KW - fixed switching frequency
KW - Jacobian matrix
U2 - 10.1109/PEDG54999.2022.9923104
DO - 10.1109/PEDG54999.2022.9923104
M3 - Article in proceeding
SN - 978-1-6654-6619-6
T3 - IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
SP - 1
EP - 6
BT - Proceedings of the 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
PB - IEEE
T2 - 13th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022
Y2 - 26 June 2022 through 29 June 2022
ER -