TY - GEN
T1 - Adaptive reference model predictive control for power electronics
AU - Yang, Yun
AU - Tan, Siew Chong
AU - Hui, Shu Yuen
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/5/10
Y1 - 2016/5/10
N2 - An adaptive reference model predictive control (ARMPC) approach is proposed as an alternative means of controlling power converters in response to the issue of steady-state residual errors presented in power converters under the conventional model predictive control (MPC). Differing from other methods of eliminating steady-state errors of MPC based control, such as MPC with integrator, the proposed ARMPC is designed to track the so-called virtual references instead of the actual references. Subsequently, additional tuning is not required for different operating conditions. In this paper, ARMPC is applied to a single-phase full-bridge voltage source inverter (VSI). It is experimentally validated that ARMPC exhibits strength in substantially eliminating the residual errors in environment of model mismatch, load change, and input voltage change, which would otherwise be present under MPC control. Moreover, it is experimentally demonstrated that the proposed ARMPC shows a consistent erasion of steady-state errors, while the MPC with integrator performs inconsistently for different cases of model mismatch after a fixed tuning of the weighting factor.
AB - An adaptive reference model predictive control (ARMPC) approach is proposed as an alternative means of controlling power converters in response to the issue of steady-state residual errors presented in power converters under the conventional model predictive control (MPC). Differing from other methods of eliminating steady-state errors of MPC based control, such as MPC with integrator, the proposed ARMPC is designed to track the so-called virtual references instead of the actual references. Subsequently, additional tuning is not required for different operating conditions. In this paper, ARMPC is applied to a single-phase full-bridge voltage source inverter (VSI). It is experimentally validated that ARMPC exhibits strength in substantially eliminating the residual errors in environment of model mismatch, load change, and input voltage change, which would otherwise be present under MPC control. Moreover, it is experimentally demonstrated that the proposed ARMPC shows a consistent erasion of steady-state errors, while the MPC with integrator performs inconsistently for different cases of model mismatch after a fixed tuning of the weighting factor.
KW - Adaptive reference model predictive control (ARMPC)
KW - model predictive contro (MPC)
KW - MPC with integrator
KW - steady-state errors
KW - virtual reference
KW - voltage source inverter (VSI)
UR - http://www.scopus.com/inward/record.url?scp=84973641580&partnerID=8YFLogxK
U2 - 10.1109/APEC.2016.7468017
DO - 10.1109/APEC.2016.7468017
M3 - Conference article published in proceeding or book
AN - SCOPUS:84973641580
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 1169
EP - 1175
BT - 2016 IEEE Applied Power Electronics Conference and Exposition, APEC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016
Y2 - 20 March 2016 through 24 March 2016
ER -