TY - GEN
T1 - Offset-Free Model Predictive Control of Interleaved Boost Converter Based on Extended State Observer
AU - Jin, Shudan
AU - Zhuo, Shengrong
AU - Huangfu, Yigeng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The conventional model predictive control (MPC) suffers from non-zero steady-state errors, due to the inevitable model mismatch and unknown disturbances. To this end, in this paper, an offset-free MPC algorithm based on extended state observer (ESO) is proposed and then applied to the current control of the interleaved boost converter. First, the influence of the main model parameter mismatch and the input voltage and load resistance disturbance on the MPC is studied. Then, the unmodeled part of the system and external disturbances are regarded as the lumped disturbance, which is estimated by ESO and then compensated in the prediction model. In this way, the offset-free MPC can be realized. Finally, the simulation results verify the effectiveness of the proposed method.
AB - The conventional model predictive control (MPC) suffers from non-zero steady-state errors, due to the inevitable model mismatch and unknown disturbances. To this end, in this paper, an offset-free MPC algorithm based on extended state observer (ESO) is proposed and then applied to the current control of the interleaved boost converter. First, the influence of the main model parameter mismatch and the input voltage and load resistance disturbance on the MPC is studied. Then, the unmodeled part of the system and external disturbances are regarded as the lumped disturbance, which is estimated by ESO and then compensated in the prediction model. In this way, the offset-free MPC can be realized. Finally, the simulation results verify the effectiveness of the proposed method.
KW - Interleaved boost converter
KW - extended state observer(ESO)
KW - model predictive control (MPC)
KW - offset-free tracking
UR - http://www.scopus.com/inward/record.url?scp=85153362070&partnerID=8YFLogxK
U2 - 10.1109/SPIES55999.2022.10082003
DO - 10.1109/SPIES55999.2022.10082003
M3 - 会议稿件
AN - SCOPUS:85153362070
T3 - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
SP - 268
EP - 273
BT - 2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
Y2 - 9 December 2022 through 12 December 2022
ER -
