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Enhanced Predictive Current Control of PMSM Drive With Virtual Voltage Space Vectors
IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2022Model predictive current control (MPCC) is commonly used method for the control of permanent magnet synchronous motor (PMSM) drive. MPCC is simple to implement and faster to execute on digital platform. The classical cost function in MPCC does not contain any weighting factor thereby resulting in a simpler cost function for the selection of optimal ...
Sagar Gajanan Petkar +1 more
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Virtual voltage vector based predictive current control of speed sensorless induction motor drives
ISA Transactions, 2023Nowadays, predictive current control (PCC) strategy has been recognized as a promising option for the control of electric drives for their control flexibility, fast dynamic response and weighting factorless structure of objective function. However, such kinds of conventional control strategies make drives to suffer from the ingress of significant ...
Adrish Bhaumik, Sukanta Das
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2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), 2020
In transformerless photovoltaic systems, common-mode voltage (CMV) fluctuations causes high-frequency harmonics, and leakage current flow. This paper proposes a strategy for finite control set model predictive control (FCS-MPC) with virtual voltage vectors (VVVs) to fix this issue.
Majid Akbari Nodehi +4 more
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In transformerless photovoltaic systems, common-mode voltage (CMV) fluctuations causes high-frequency harmonics, and leakage current flow. This paper proposes a strategy for finite control set model predictive control (FCS-MPC) with virtual voltage vectors (VVVs) to fix this issue.
Majid Akbari Nodehi +4 more
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MPTC for Dual Three-Phase PMSM Based on Novel Virtual Voltage Vector
IEEE Transactions on Energy ConversionShuang Wang, , Qinyi Zhang
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IEEE Transactions on Power Electronics, 2021
This article presents a new algorithm of finite control set model predictive control (FCS-MPC) with floating virtual voltage vectors (VVs) applied to grid-connected voltage source converter. The new solution improves the conventional FCS-MPC and FCS-MPC with virtual VVs, assuring a fixed switching frequency. In comparison with FCS-MPC using virtual VVs,
Piotr Falkowski +2 more
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This article presents a new algorithm of finite control set model predictive control (FCS-MPC) with floating virtual voltage vectors (VVs) applied to grid-connected voltage source converter. The new solution improves the conventional FCS-MPC and FCS-MPC with virtual VVs, assuring a fixed switching frequency. In comparison with FCS-MPC using virtual VVs,
Piotr Falkowski +2 more
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IEEE Transactions on Transportation Electrification, 2021
Model predictive current control (MPCC) schemes have been considered as a promising control technique for voltage source inverters (VSIs). However, the computational burden reduction, harmonic currents elimination, and common-mode voltage (CMV) mitigation are special issues when MPCC schemes are applied to five-phase VSIs.
Bin Yu +4 more
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Model predictive current control (MPCC) schemes have been considered as a promising control technique for voltage source inverters (VSIs). However, the computational burden reduction, harmonic currents elimination, and common-mode voltage (CMV) mitigation are special issues when MPCC schemes are applied to five-phase VSIs.
Bin Yu +4 more
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2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019
The five-phase voltage source inverters (VSIs) have drawn more and more attention in the recent years, and required the extension of control schemes already well known for three-phase voltage source inverters. Nevertheless, the low-order harmonic currents suppression is a special issue of control methods for five-phase VSIs with the common-mode voltage
Bin Yu, Wensheng Song, Jiaxu Feng
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The five-phase voltage source inverters (VSIs) have drawn more and more attention in the recent years, and required the extension of control schemes already well known for three-phase voltage source inverters. Nevertheless, the low-order harmonic currents suppression is a special issue of control methods for five-phase VSIs with the common-mode voltage
Bin Yu, Wensheng Song, Jiaxu Feng
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2005 European Conference on Power Electronics and Applications, 2005
The modulation strategy based on virtual vectors can remove the low-frequency voltage oscillation that appears in the neutral point of the three-level inverter. However, this strategy has no natural voltage balancing. This work presents a novel space-vector modulation algorithm that includes voltage-balancing control and therefore can remove any ...
J. Pou +4 more
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The modulation strategy based on virtual vectors can remove the low-frequency voltage oscillation that appears in the neutral point of the three-level inverter. However, this strategy has no natural voltage balancing. This work presents a novel space-vector modulation algorithm that includes voltage-balancing control and therefore can remove any ...
J. Pou +4 more
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2025 IEEE 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Model Predictive Control (MPC) has gained significant traction in the control of permanent magnet synchronous motor (PMSM) drives due to its fast response and ability to handle system constraints. However, conventional predictive direct speed control (PDSC) methods rely on weighting factors, which require complex tuning and increase computational ...
Zerdali, Emrah +3 more
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Model Predictive Control (MPC) has gained significant traction in the control of permanent magnet synchronous motor (PMSM) drives due to its fast response and ability to handle system constraints. However, conventional predictive direct speed control (PDSC) methods rely on weighting factors, which require complex tuning and increase computational ...
Zerdali, Emrah +3 more
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A Virtual Voltage Vector Modulated Model Predictive Control of Modular Multilevel Converters
International Journal of Circuit Theory and ApplicationsABSTRACTThe model predictive control (MPC) method is widely applied in modular multilevel converter (MMC) control due to its multiple‐object inclusion and fast response. But there still some challenges that exist such as high computational burden caused by the large number of submodule (SM), weighting factors tuning for various control object in the ...
Jingang Han +6 more
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