TY - JOUR
T1 - Robust Discrete Time Disturbance Observer with Finite Control Set Model Predictive Control in UPS System
AU - Danayiyen, Yahya
AU - Altaş, Ismail Hakki
AU - Lee, Young Il
N1 - Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this paper, output voltage of a three phase uninterrupted power supply is controlled using finite control set model predictive control. A discrete time disturbance observer is used to estimate the disturbance load current. A robust method is proposed to determine gain matrix of the observer. This optimal gain matrix was computed using linear matrix inequality method. The control system is designed in alpha-beta reference frame and implemented in Matlab environment. The comparative simulation results are given for three different observers in order to see performance of the proposed robust method. The results show that the proposed LMI matrix can be used to calculate the optimal observer gain matrix. Furthermore, an additional integration term can be included in the disturbance observer to improve FCS-MPC performance. The effect of the sampling period on FCS-MPC is evaluated under different sampling frequency. The results show that a small sampling frequency can be used with proposed observer in FCS-MPC.
AB - In this paper, output voltage of a three phase uninterrupted power supply is controlled using finite control set model predictive control. A discrete time disturbance observer is used to estimate the disturbance load current. A robust method is proposed to determine gain matrix of the observer. This optimal gain matrix was computed using linear matrix inequality method. The control system is designed in alpha-beta reference frame and implemented in Matlab environment. The comparative simulation results are given for three different observers in order to see performance of the proposed robust method. The results show that the proposed LMI matrix can be used to calculate the optimal observer gain matrix. Furthermore, an additional integration term can be included in the disturbance observer to improve FCS-MPC performance. The effect of the sampling period on FCS-MPC is evaluated under different sampling frequency. The results show that a small sampling frequency can be used with proposed observer in FCS-MPC.
KW - disturbance observer
KW - linear matrix inequalities (LMI)
KW - Model predictive control
KW - uninterruptible power supply (UPS)
UR - http://www.scopus.com/inward/record.url?scp=85076167487&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2019.08.154
DO - 10.1016/j.ifacol.2019.08.154
M3 - Conference article
AN - SCOPUS:85076167487
SN - 2405-8963
VL - 52
SP - 51
EP - 56
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 4
T2 - IFAC Workshop on Control of Smart Grid and Renewable Energy Systems, CSGRES 2019
Y2 - 10 June 2019 through 12 June 2019
ER -