Constrained Modulated-Model Predictive Control of an LC-Filtered Voltage Source Converter

C. Zheng, T. Dragicevic, B. Majmunovic, F. Blaabjerg

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Abstract

This paper proposes a constrained modulated-model predictive control (M 2 PC) strategy for an LC -filtered voltage source converter (VSC). To tackle the coupling effects of the state variables in a second-order LC filter, a dual-objective cost function (CF) is used to explicitly track both capacitor voltage and inductor current references, which can achieve improved voltage quality. To handle the state and control input constraints of VSCs, a constrained M 2 PC scheme is proposed with an ‘online post-correction’ constraint-handling technique. First, the unconstrained optimal voltage vector (OVV) of the VSC is derived. It is generated by seeking the minimum analytical solution of the CF offline, simplifying the online implementation. Then, the ‘online post-correction’ strategy is employed by reconsidering the constraints to correct the precalculated OVV online, which guarantees the future states within the allowed range. Finally, the corrected OVV is synthesized by the space vector modulation (SVM), resulting in a fixed switching frequency and low harmonics. Compared with the typical constrained MPC, the presented scheme has the advantages of improved control performance, flexible constraint-handling ability and lower computational cost. Additionally, analytical procedures for weighting factor (WF) selection in the CF are given. Comparative experiments are investigated to verify the presented control strategy.
Original languageEnglish
JournalIEEE Transactions on Power Electronics
ISSN0885-8993
DOIs
Publication statusE-pub ahead of print - May 2019

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Model predictive control
Electric potential
Cost functions
Switching frequency
Vector spaces
Capacitors
Modulation
Costs

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title = "Constrained Modulated-Model Predictive Control of an LC-Filtered Voltage Source Converter",
abstract = "This paper proposes a constrained modulated-model predictive control (M 2 PC) strategy for an LC -filtered voltage source converter (VSC). To tackle the coupling effects of the state variables in a second-order LC filter, a dual-objective cost function (CF) is used to explicitly track both capacitor voltage and inductor current references, which can achieve improved voltage quality. To handle the state and control input constraints of VSCs, a constrained M 2 PC scheme is proposed with an ‘online post-correction’ constraint-handling technique. First, the unconstrained optimal voltage vector (OVV) of the VSC is derived. It is generated by seeking the minimum analytical solution of the CF offline, simplifying the online implementation. Then, the ‘online post-correction’ strategy is employed by reconsidering the constraints to correct the precalculated OVV online, which guarantees the future states within the allowed range. Finally, the corrected OVV is synthesized by the space vector modulation (SVM), resulting in a fixed switching frequency and low harmonics. Compared with the typical constrained MPC, the presented scheme has the advantages of improved control performance, flexible constraint-handling ability and lower computational cost. Additionally, analytical procedures for weighting factor (WF) selection in the CF are given. Comparative experiments are investigated to verify the presented control strategy.",
keywords = "Capacitors, Inductors, Voltage control, Predictive models, Modulation, Switching frequency, Predictive control, Voltage source converter (VSC), LC filter, model predictive control (MPC), constraints, modulation",
author = "C. Zheng and T. Dragicevic and B. Majmunovic and F. Blaabjerg",
year = "2019",
month = "5",
doi = "10.1109/TPEL.2019.2917634",
language = "English",
journal = "I E E E Transactions on Power Electronics",
issn = "0885-8993",
publisher = "IEEE",

}

Constrained Modulated-Model Predictive Control of an LC-Filtered Voltage Source Converter. / Zheng, C.; Dragicevic, T.; Majmunovic, B.; Blaabjerg, F.

In: IEEE Transactions on Power Electronics, 05.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Constrained Modulated-Model Predictive Control of an LC-Filtered Voltage Source Converter

AU - Zheng, C.

AU - Dragicevic, T.

AU - Majmunovic, B.

AU - Blaabjerg, F.

PY - 2019/5

Y1 - 2019/5

N2 - This paper proposes a constrained modulated-model predictive control (M 2 PC) strategy for an LC -filtered voltage source converter (VSC). To tackle the coupling effects of the state variables in a second-order LC filter, a dual-objective cost function (CF) is used to explicitly track both capacitor voltage and inductor current references, which can achieve improved voltage quality. To handle the state and control input constraints of VSCs, a constrained M 2 PC scheme is proposed with an ‘online post-correction’ constraint-handling technique. First, the unconstrained optimal voltage vector (OVV) of the VSC is derived. It is generated by seeking the minimum analytical solution of the CF offline, simplifying the online implementation. Then, the ‘online post-correction’ strategy is employed by reconsidering the constraints to correct the precalculated OVV online, which guarantees the future states within the allowed range. Finally, the corrected OVV is synthesized by the space vector modulation (SVM), resulting in a fixed switching frequency and low harmonics. Compared with the typical constrained MPC, the presented scheme has the advantages of improved control performance, flexible constraint-handling ability and lower computational cost. Additionally, analytical procedures for weighting factor (WF) selection in the CF are given. Comparative experiments are investigated to verify the presented control strategy.

AB - This paper proposes a constrained modulated-model predictive control (M 2 PC) strategy for an LC -filtered voltage source converter (VSC). To tackle the coupling effects of the state variables in a second-order LC filter, a dual-objective cost function (CF) is used to explicitly track both capacitor voltage and inductor current references, which can achieve improved voltage quality. To handle the state and control input constraints of VSCs, a constrained M 2 PC scheme is proposed with an ‘online post-correction’ constraint-handling technique. First, the unconstrained optimal voltage vector (OVV) of the VSC is derived. It is generated by seeking the minimum analytical solution of the CF offline, simplifying the online implementation. Then, the ‘online post-correction’ strategy is employed by reconsidering the constraints to correct the precalculated OVV online, which guarantees the future states within the allowed range. Finally, the corrected OVV is synthesized by the space vector modulation (SVM), resulting in a fixed switching frequency and low harmonics. Compared with the typical constrained MPC, the presented scheme has the advantages of improved control performance, flexible constraint-handling ability and lower computational cost. Additionally, analytical procedures for weighting factor (WF) selection in the CF are given. Comparative experiments are investigated to verify the presented control strategy.

KW - Capacitors

KW - Inductors

KW - Voltage control

KW - Predictive models

KW - Modulation

KW - Switching frequency

KW - Predictive control

KW - Voltage source converter (VSC)

KW - LC filter

KW - model predictive control (MPC)

KW - constraints

KW - modulation

U2 - 10.1109/TPEL.2019.2917634

DO - 10.1109/TPEL.2019.2917634

M3 - Journal article

JO - I E E E Transactions on Power Electronics

JF - I E E E Transactions on Power Electronics

SN - 0885-8993

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