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Title: A Discrete-Time Average Model Based Predictive Control for Quasi-Z-Source Inverter

Abstract

A discrete-time average model-based predictive control (DTA-MPC) is proposed for a quasi-Z-source inverter (qZSI). As a single-stage inverter topology, the qZSI regulates the dc-link voltage and the ac output voltage through the shoot-through (ST) duty cycle and the modulation index. Several feedback strategies have been dedicated to produce these two control variables, among which the most popular are the proportional–integral (PI)-based control and the conventional model-predictive control (MPC). However, in the former, there are tradeoffs between fast response and stability; the latter is robust, but at the cost of high calculation burden and variable switching frequency. Moreover, they require an elaborated design or fine tuning of controller parameters. The proposed DTA-MPC predicts future behaviors of the ST duty cycle and modulation signals, based on the established discrete-time average model of the quasi-Z-source (qZS) inductor current, the qZS capacitor voltage, and load currents. The prediction actions are applied to the qZSI modulator in the next sampling instant, without the need of other controller parameters’ design. A constant switching frequency and significantly reduced computations are achieved with high performance. Transient responses and steady-state accuracy of the qZSI system under the proposed DTA-MPC are investigated and compared with the PI-based control and themore » conventional MPC. Simulation and experimental results verify the effectiveness of the proposed approach for the qZSI.« less

Authors:
 [1];  [2]; ORCiD logo [3];  [1]
  1. Beihang Univ., Beijing (China)
  2. Texas A & M Univ. at Qatar, Doha, Qatar (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1432149
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Translations on Industrial Electronics
Additional Journal Information:
Journal Volume: 65; Journal Issue: 8; Journal ID: ISSN 0278-0046
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; discrete-time average model; predictive control; proportional–integral (PI) control; quasi-Z-source inverter (qZSI); shoot-through (ST) duty cycle

Citation Formats

Liu, Yushan, Abu-Rub, Haitham, Xue, Yaosuo, and Tao, Fei. A Discrete-Time Average Model Based Predictive Control for Quasi-Z-Source Inverter. United States: N. p., 2017. Web. doi:10.1109/TIE.2017.2787050.
Liu, Yushan, Abu-Rub, Haitham, Xue, Yaosuo, & Tao, Fei. A Discrete-Time Average Model Based Predictive Control for Quasi-Z-Source Inverter. United States. doi:10.1109/TIE.2017.2787050.
Liu, Yushan, Abu-Rub, Haitham, Xue, Yaosuo, and Tao, Fei. Mon . "A Discrete-Time Average Model Based Predictive Control for Quasi-Z-Source Inverter". United States. doi:10.1109/TIE.2017.2787050.
@article{osti_1432149,
title = {A Discrete-Time Average Model Based Predictive Control for Quasi-Z-Source Inverter},
author = {Liu, Yushan and Abu-Rub, Haitham and Xue, Yaosuo and Tao, Fei},
abstractNote = {A discrete-time average model-based predictive control (DTA-MPC) is proposed for a quasi-Z-source inverter (qZSI). As a single-stage inverter topology, the qZSI regulates the dc-link voltage and the ac output voltage through the shoot-through (ST) duty cycle and the modulation index. Several feedback strategies have been dedicated to produce these two control variables, among which the most popular are the proportional–integral (PI)-based control and the conventional model-predictive control (MPC). However, in the former, there are tradeoffs between fast response and stability; the latter is robust, but at the cost of high calculation burden and variable switching frequency. Moreover, they require an elaborated design or fine tuning of controller parameters. The proposed DTA-MPC predicts future behaviors of the ST duty cycle and modulation signals, based on the established discrete-time average model of the quasi-Z-source (qZS) inductor current, the qZS capacitor voltage, and load currents. The prediction actions are applied to the qZSI modulator in the next sampling instant, without the need of other controller parameters’ design. A constant switching frequency and significantly reduced computations are achieved with high performance. Transient responses and steady-state accuracy of the qZSI system under the proposed DTA-MPC are investigated and compared with the PI-based control and the conventional MPC. Simulation and experimental results verify the effectiveness of the proposed approach for the qZSI.},
doi = {10.1109/TIE.2017.2787050},
journal = {IEEE Translations on Industrial Electronics},
number = 8,
volume = 65,
place = {United States},
year = {Mon Dec 25 00:00:00 EST 2017},
month = {Mon Dec 25 00:00:00 EST 2017}
}

Journal Article:
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