A DiscreteTime Average Model Based Predictive Control for QuasiZSource Inverter
Abstract
A discretetime average modelbased predictive control (DTAMPC) is proposed for a quasiZsource inverter (qZSI). As a singlestage inverter topology, the qZSI regulates the dclink voltage and the ac output voltage through the shootthrough (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 modelpredictive 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 DTAMPC predicts future behaviors of the ST duty cycle and modulation signals, based on the established discretetime average model of the quasiZsource (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 steadystate accuracy of the qZSI system under the proposed DTAMPC are investigated and compared with the PIbased control and themore »
 Authors:

 Beihang Univ., Beijing (China)
 Texas A & M Univ. at Qatar, Doha, Qatar (United States)
 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 (OE)
 OSTI Identifier:
 1432149
 Grant/Contract Number:
 AC0500OR22725
 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 02780046
 Publisher:
 IEEE
 Country of Publication:
 United States
 Language:
 English
 Subject:
 42 ENGINEERING; discretetime average model; predictive control; proportional–integral (PI) control; quasiZsource inverter (qZSI); shootthrough (ST) duty cycle
Citation Formats
Liu, Yushan, AbuRub, Haitham, Xue, Yaosuo, and Tao, Fei. A DiscreteTime Average Model Based Predictive Control for QuasiZSource Inverter. United States: N. p., 2017.
Web. doi:10.1109/TIE.2017.2787050.
Liu, Yushan, AbuRub, Haitham, Xue, Yaosuo, & Tao, Fei. A DiscreteTime Average Model Based Predictive Control for QuasiZSource Inverter. United States. doi:10.1109/TIE.2017.2787050.
Liu, Yushan, AbuRub, Haitham, Xue, Yaosuo, and Tao, Fei. Mon .
"A DiscreteTime Average Model Based Predictive Control for QuasiZSource Inverter". United States. doi:10.1109/TIE.2017.2787050. https://www.osti.gov/servlets/purl/1432149.
@article{osti_1432149,
title = {A DiscreteTime Average Model Based Predictive Control for QuasiZSource Inverter},
author = {Liu, Yushan and AbuRub, Haitham and Xue, Yaosuo and Tao, Fei},
abstractNote = {A discretetime average modelbased predictive control (DTAMPC) is proposed for a quasiZsource inverter (qZSI). As a singlestage inverter topology, the qZSI regulates the dclink voltage and the ac output voltage through the shootthrough (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 modelpredictive 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 DTAMPC predicts future behaviors of the ST duty cycle and modulation signals, based on the established discretetime average model of the quasiZsource (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 steadystate accuracy of the qZSI system under the proposed DTAMPC are investigated and compared with the PIbased 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},
issn = {02780046},
number = 8,
volume = 65,
place = {United States},
year = {2017},
month = {12}
}
Web of Science