Model Predictive Current Control of Multilevel Inverter in Traction System

Mannan Hassan; Rao Atif; Xinglai Ge; Woldegiorgis Abebe Teklu; Hafiz Mudassir Munir; Muhammad Amjad

doi:10.1109/ICECCE47252.2019.8940746

Model Predictive Current Control of Multilevel Inverter in Traction System

Mannan Hassan
, Rao Atif
, Xinglai Ge
, Woldegiorgis Abebe Teklu
, Hafiz Mudassir Munir
, Muhammad Amjad

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

8 Scopus citations

Abstract

Model predictive control (MPC) is a new trend and capitative solution for controlling power converters. A finite control set model predictive current control (FCS-MPCC) technique is proposed to control output currents and voltages of flying capacitors for a five-level nested neutral point-clamped (5L-NNPC) inverter in Traction system. The 5L-NNPC converter works over the extensive range of voltages with interesting qualities such as less components in contrast to other conventional five-level converters. Converter model is driven in discrete-time concerning the switching stats of converter. Output currents and voltages of flying capacitor are predicted using each possible switching state for every sample. Cost function compares these predicted variables with their references and choose the switching state for next sample that corresponds to the minimum cost. Suggested FCS-MPCC technique is simulated and analyzed for NNPC converter using MATLAB.

Original language	English
Title of host publication	1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728138251
DOIs	https://doi.org/10.1109/ICECCE47252.2019.8940746
State	Published - Jul 2019
Externally published	Yes
Event	1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 - Swat, Pakistan Duration: 24 Jul 2019 → 25 Jul 2019

Publication series

Name	1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019

Conference

Conference	1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019
Country/Territory	Pakistan
City	Swat
Period	24/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

FCS-MPC
Multilevel Inverter
NNPC

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

Access to Document

10.1109/ICECCE47252.2019.8940746

Cite this

Hassan, M., Atif, R., Ge, X., Teklu, W. A., Munir, H. M., & Amjad, M. (2019). Model Predictive Current Control of Multilevel Inverter in Traction System. In 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 Article 8940746 (1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECCE47252.2019.8940746

Hassan, Mannan ; Atif, Rao ; Ge, Xinglai et al. / Model Predictive Current Control of Multilevel Inverter in Traction System. 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019).

@inproceedings{a329cdb7f66849458e8fe3a8680f7470,

title = "Model Predictive Current Control of Multilevel Inverter in Traction System",

abstract = "Model predictive control (MPC) is a new trend and capitative solution for controlling power converters. A finite control set model predictive current control (FCS-MPCC) technique is proposed to control output currents and voltages of flying capacitors for a five-level nested neutral point-clamped (5L-NNPC) inverter in Traction system. The 5L-NNPC converter works over the extensive range of voltages with interesting qualities such as less components in contrast to other conventional five-level converters. Converter model is driven in discrete-time concerning the switching stats of converter. Output currents and voltages of flying capacitor are predicted using each possible switching state for every sample. Cost function compares these predicted variables with their references and choose the switching state for next sample that corresponds to the minimum cost. Suggested FCS-MPCC technique is simulated and analyzed for NNPC converter using MATLAB.",

keywords = "FCS-MPC, Multilevel Inverter, NNPC",

author = "Mannan Hassan and Rao Atif and Xinglai Ge and Teklu, \{Woldegiorgis Abebe\} and Munir, \{Hafiz Mudassir\} and Muhammad Amjad",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 ; Conference date: 24-07-2019 Through 25-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICECCE47252.2019.8940746",

language = "English",

series = "1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019",

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Hassan, M, Atif, R, Ge, X, Teklu, WA, Munir, HM & Amjad, M 2019, Model Predictive Current Control of Multilevel Inverter in Traction System. in 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019., 8940746, 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019, Institute of Electrical and Electronics Engineers Inc., 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019, Swat, Pakistan, 24/07/19. https://doi.org/10.1109/ICECCE47252.2019.8940746

Model Predictive Current Control of Multilevel Inverter in Traction System. / Hassan, Mannan; Atif, Rao; Ge, Xinglai et al.
1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8940746 (1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019).

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

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AU - Hassan, Mannan

AU - Atif, Rao

AU - Ge, Xinglai

AU - Teklu, Woldegiorgis Abebe

AU - Munir, Hafiz Mudassir

AU - Amjad, Muhammad

PY - 2019/7

Y1 - 2019/7

N2 - Model predictive control (MPC) is a new trend and capitative solution for controlling power converters. A finite control set model predictive current control (FCS-MPCC) technique is proposed to control output currents and voltages of flying capacitors for a five-level nested neutral point-clamped (5L-NNPC) inverter in Traction system. The 5L-NNPC converter works over the extensive range of voltages with interesting qualities such as less components in contrast to other conventional five-level converters. Converter model is driven in discrete-time concerning the switching stats of converter. Output currents and voltages of flying capacitor are predicted using each possible switching state for every sample. Cost function compares these predicted variables with their references and choose the switching state for next sample that corresponds to the minimum cost. Suggested FCS-MPCC technique is simulated and analyzed for NNPC converter using MATLAB.

AB - Model predictive control (MPC) is a new trend and capitative solution for controlling power converters. A finite control set model predictive current control (FCS-MPCC) technique is proposed to control output currents and voltages of flying capacitors for a five-level nested neutral point-clamped (5L-NNPC) inverter in Traction system. The 5L-NNPC converter works over the extensive range of voltages with interesting qualities such as less components in contrast to other conventional five-level converters. Converter model is driven in discrete-time concerning the switching stats of converter. Output currents and voltages of flying capacitor are predicted using each possible switching state for every sample. Cost function compares these predicted variables with their references and choose the switching state for next sample that corresponds to the minimum cost. Suggested FCS-MPCC technique is simulated and analyzed for NNPC converter using MATLAB.

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BT - 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Hassan M, Atif R, Ge X, Teklu WA, Munir HM, Amjad M. Model Predictive Current Control of Multilevel Inverter in Traction System. In 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8940746. (1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019). doi: 10.1109/ICECCE47252.2019.8940746

Model Predictive Current Control of Multilevel Inverter in Traction System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this