Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation

Model-predictive current control (MPCC) is a promising candidate for modular multilevel converter (MMC) control due to its advantages of direct modeling and fast dynamic response. The conventional MPCC, which obtains the optimal control input by evaluating a cost function for all the possible switch...

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Main Authors: Zhou, Dehong, Yang, Shunfeng, Tang, Yi
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/151570
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author Zhou, Dehong
Yang, Shunfeng
Tang, Yi
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhou, Dehong
Yang, Shunfeng
Tang, Yi
author_sort Zhou, Dehong
collection NTU
description Model-predictive current control (MPCC) is a promising candidate for modular multilevel converter (MMC) control due to its advantages of direct modeling and fast dynamic response. The conventional MPCC, which obtains the optimal control input by evaluating a cost function for all the possible switching states, may make the MPCC impractical due to the exponentially increasing computation burden with the increasing number of submodules (SMs). On the other hand, the MPCC experiences high load current and circulating current tracking errors, since only one switching state is selected and applied during one control period. To address these issues, this paper proposes an MPCC with phase-shifted pulsewidth modulation (PS-PWM) for improving the steady-state control performance. The arm voltages are considered as a whole to implement the proposed MPCC. The optimal duty cycle is obtained based on the load and circulating current tracking error minimization and applied using the PS-PWM. As a result, the computation burden is unrelated to the number of SMs by avoiding the exhaustive evaluation process for all the possible switching states. A better steady-state performance with smaller tracking errors is achieved with the similar switching frequency, and the tedious tuning process of the weighting factor is eliminated. Experimental results are presented to demonstrate the effectiveness of the proposed MPCC.
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spelling ntu-10356/1515702021-06-30T07:25:43Z Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation Zhou, Dehong Yang, Shunfeng Tang, Yi School of Electrical and Electronic Engineering Institute of Electrical and Electronics Engineers (IEEE) Maritime Institute Rolls-Royce@NTU Corporate Lab Engineering::Electrical and electronic engineering Model-predictive Current Control Modular Multilevel Converter Model-predictive current control (MPCC) is a promising candidate for modular multilevel converter (MMC) control due to its advantages of direct modeling and fast dynamic response. The conventional MPCC, which obtains the optimal control input by evaluating a cost function for all the possible switching states, may make the MPCC impractical due to the exponentially increasing computation burden with the increasing number of submodules (SMs). On the other hand, the MPCC experiences high load current and circulating current tracking errors, since only one switching state is selected and applied during one control period. To address these issues, this paper proposes an MPCC with phase-shifted pulsewidth modulation (PS-PWM) for improving the steady-state control performance. The arm voltages are considered as a whole to implement the proposed MPCC. The optimal duty cycle is obtained based on the load and circulating current tracking error minimization and applied using the PS-PWM. As a result, the computation burden is unrelated to the number of SMs by avoiding the exhaustive evaluation process for all the possible switching states. A better steady-state performance with smaller tracking errors is achieved with the similar switching frequency, and the tedious tuning process of the weighting factor is eliminated. Experimental results are presented to demonstrate the effectiveness of the proposed MPCC. 2021-06-30T07:25:43Z 2021-06-30T07:25:43Z 2019 Journal Article Zhou, D., Yang, S. & Tang, Y. (2019). Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation. IEEE Transactions On Industrial Electronics, 66(6), 4368-4378. https://dx.doi.org/10.1109/TIE.2018.2863181 0278-0046 0000-0001-6111-2266 0000-0003-1731-2660 0000-0001-8725-1336 https://hdl.handle.net/10356/151570 10.1109/TIE.2018.2863181 2-s2.0-85061162596 6 66 4368 4378 en IEEE Transactions on Industrial Electronics © 2018 IEEE. All rights reserved.
spellingShingle Engineering::Electrical and electronic engineering
Model-predictive Current Control
Modular Multilevel Converter
Zhou, Dehong
Yang, Shunfeng
Tang, Yi
Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title_full Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title_fullStr Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title_full_unstemmed Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title_short Model-predictive current control of modular multilevel converters with phase-shifted pulsewidth modulation
title_sort model predictive current control of modular multilevel converters with phase shifted pulsewidth modulation
topic Engineering::Electrical and electronic engineering
Model-predictive Current Control
Modular Multilevel Converter
url https://hdl.handle.net/10356/151570
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AT yangshunfeng modelpredictivecurrentcontrolofmodularmultilevelconverterswithphaseshiftedpulsewidthmodulation
AT tangyi modelpredictivecurrentcontrolofmodularmultilevelconverterswithphaseshiftedpulsewidthmodulation