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

Yushan Liu; Haitham Abu-Rub; Yaosuo Xue; Fei Tao

doi:10.1109/TIE.2017.2787050

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

Yushan Liu, Haitham Abu-Rub, Yaosuo Xue, Fei Tao

Grid Systems Modeling and Controls

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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 the conventional MPC. Simulation and experimental results verify the effectiveness of the proposed approach for the qZSI.

Original language	English
Pages (from-to)	6044-6054
Number of pages	11
Journal	IEEE Transactions on Industrial Electronics
Volume	65
Issue number	8
DOIs	https://doi.org/10.1109/TIE.2017.2787050
State	Published - Aug 2018

Funding

Manuscript received May 12, 2017; revised August 16, 2017 and October 11, 2017; accepted November 17, 2017. Date of publication December 25, 2017; date of current version April 2, 2018. This work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP-EP Grant X-033-2-007 (Sections I and IV), the National Natural Science Foundation of China under Grant 51477008 (Section III), and the Beijing Natural Science Foundation under Grant 3152021 (Section II). The statements made herein are solely the responsibility of the authors. (Corresponding author: Yushan Liu.) Y. Liu and F. Tao are with the School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China (e-mail: [email protected]; [email protected]).

Funders	Funder number
NPRP-EP	X-033-2-007
Qatar Foundation
Qatar National Research Fund
National Natural Science Foundation of China	51477008
Natural Science Foundation of Beijing Municipality	3152021

Keywords

Discrete-time average model
predictive control
proportional-integral (PI) control
quasi-Z-source inverter (qZSI)
shoot-through (ST) duty cycle

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10.1109/TIE.2017.2787050

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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 the conventional MPC. Simulation and experimental results verify the effectiveness of the proposed approach for the qZSI.",

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AB - 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.

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

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