Direct model predictive current control of quasi-Z-source inverters

Ayman Ayad; Petros Karamanakos; Ralph Kennel

doi:10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters

Ayman Ayad, Petros Karamanakos, Ralph Kennel

Chair of High-Power Converter Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	67-72
Number of pages	6
ISBN (Electronic)	9781509017171
DOIs	https://doi.org/10.1109/PRECEDE.2015.7395585
State	Published - 29 Jan 2016
Event	IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015 - Valparaiso, Chile Duration: 5 Oct 2015 → 6 Oct 2015

Publication series

Name	Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015

Conference

Conference	IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
Country/Territory	Chile
City	Valparaiso
Period	5/10/15 → 6/10/15

Access to Document

10.1109/PRECEDE.2015.7395585

Cite this

Ayad, A., Karamanakos, P., & Kennel, R. (2016). Direct model predictive current control of quasi-Z-source inverters. In Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015 (pp. 67-72). Article 7395585 (Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE.2015.7395585

Ayad, Ayman ; Karamanakos, Petros ; Kennel, Ralph. / Direct model predictive current control of quasi-Z-source inverters. Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 67-72 (Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015).

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title = "Direct model predictive current control of quasi-Z-source inverters",

abstract = "This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.",

author = "Ayman Ayad and Petros Karamanakos and Ralph Kennel",

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Ayad, A, Karamanakos, P & Kennel, R 2016, Direct model predictive current control of quasi-Z-source inverters. in Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015., 7395585, Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 67-72, IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015, Valparaiso, Chile, 5/10/15. https://doi.org/10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters. / Ayad, Ayman; Karamanakos, Petros; Kennel, Ralph.
Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 67-72 7395585 (Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Karamanakos, Petros

AU - Kennel, Ralph

PY - 2016/1/29

Y1 - 2016/1/29

N2 - This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

AB - This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.

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DO - 10.1109/PRECEDE.2015.7395585

M3 - Conference contribution

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BT - Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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Ayad A, Karamanakos P, Kennel R. Direct model predictive current control of quasi-Z-source inverters. In Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 67-72. 7395585. (Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015). doi: 10.1109/PRECEDE.2015.7395585

Direct model predictive current control of quasi-Z-source inverters

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