Simplified Model Predictive Control for AC/DC Matrix Converters With Active Damping Function Under Unbalanced Grid Voltage

Nguyen, Thanh-Luan; Lee, Hong‐Hee

doi:10.1109/jestpe.2019.2918842

Cited by 25 publications

(17 citation statements)

References 39 publications

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“…The model predictive control (MPC) system has been widely used in power electronic converters due to fast, smooth, and optimal selection of the switching states [22]- [26]. The main drawback of the MPC control system is the use of a high number of current and voltage sensors [27].…”

Section: Volume XX 2020mentioning

confidence: 99%

Design of the Current and the Voltage Observers for Active-Load-Balancer (ALB) in Model Predictive Control System

2020

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In this paper, two observers for the model predictive control system of the active load balancer (ALB), are proposed. An unbalanced single-phase load in the distributed power system causes significant difficulties. An active load balancer is an efficient approach to tackle these issues. Model predictive control is one of the centralized proper control system for a power electronic converter. The main drawback of this control system is the use of numerous voltage and current sensors. Therefore, using of observers instead of sensors makes the implementation of the model predictive control system more cost effective. These two observers, estimate the load current and PCC voltage, fast and accurate as possible. This paper presents load current observer based on furrier series and voltage observer based on nonlinear newton-raphson method. The experimental results obtained from a 4 kW prototype ALB validate the theoretical analysis. The experimental results reveal that the proposed observers can achieve high accuracy and low costs as well as a high-quality grid side current.

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Section: Volume XX 2020mentioning

confidence: 99%

Design of the Current and the Voltage Observers for Active-Load-Balancer (ALB) in Model Predictive Control System

2020

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“…In the proposed VSVM, applying a similar manner as in C-SVM and using (13)(14)(15), the switching period of active vector → I 2 is expressed as:…”

Section: Current Ripple Analysis Of Proposed Vsvmmentioning

confidence: 99%

“…Basically, it is a single-stage bidirectional current source AC-DC converter, which rectifies the sinusoidal AC signals to the pure DC signals. Different modulation strategies have been applied for the AC-DC MCs, such as the Alesina-Venturini [5], the pulse-width modulation (PWM) [10,11], the model predictive control (MPC) [12][13][14], and the space vector modulation (SVM) [15][16][17][18][19][20][21]. Predictive control strategies for the AC-DC MCs under unbalanced grid voltage were proposed in [12] and [13].…”

Section: Introductionmentioning

confidence: 99%

Reduction of DC Current Ripples by Virtual Space Vector Modulation for Three-Phase AC–DC Matrix Converters

2019

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In this paper, the virtual space vector modulation for the AC–DC (alternating current–direct current) matrix converters is proposed to reduce the DC current ripples in the whole modulation index range. In the proposed method, each virtual vector is synthesized by the two nearest original active vectors. To synthesize the current reference vector, two virtual vectors and one zero vector are used in every switching period. The main principle of the proposed method is to reduce the dwelling period of the largest active current vector in each sector. In addition, the optimized switching patterns are proposed to further reduce the DC current ripples at both high- and low-power operation. Finally, simulation and experimental results are illustrated to validate the effectiveness of the proposed strategy.

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“…Besides, for optimal tradeoff between the input and output control performance, weighting factor in the cost function of the above FS-MPC scheme needs to be tuned properly, which is usually based on empirical knowledge and thus increases the implementation complexity. In [34,35], the proportional integral (PI) controller is used to generate the reference source currents and eliminate the weighting factor. Although this method could address the above two issues, it violates the fundamental principle of the predictive control and also increases the control complexity.…”

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confidence: 99%

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

et al. 2019

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A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz AC input and 270 V DC output demonstrate the superior control performance.Abstract: A current source converter (CSC) is a promising topology for interfacing aircraft 10 generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed 11 for the CSC with an output LC filter in such application. Deadbeat predictive control with larger 12 sampling time is applied to the output circuit, generating reference source currents. Finite-set model 13 predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal 14 source currents, which is simplified by saving the source current predictions. The proposed scheme 15 eliminates both the proportional-integral controller and the weighting factor, which are required in 16 the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is 17 used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz 18 AC input and 270 V DC output demonstrate the superior control performance.19 Keywords: more electric aircraft; DC microgrid; current source converter; deadbeat predictive 20 control; finite-set model predictive control 21 22 Energies 2019, 12, x FOR PEER REVIEW 3 of 14 while FS-MPC is applied to control source currents. Reference source currents are generated from the 86 output DBPC. In addition, the output DBPC has larger sampling time and the input FS-MPC is 87 simplified by eliminating source current predictions, which reduces the computational burden. 88This paper is organized as follows. Section 2 presents the mathematical model of the CSC system 89 for aircraft DC MG. Section 3 elaborates the principle of the proposed hybrid predictive control 90 scheme. Section 4 shows the simulation and experimental verification. Section 5 draws the conclusion.91 2. Mathematical Model of the CSC System 92 Schematic of the CSC system for the aircraft DC MG is shown in Figure 2. Power source 93 connected to the input side of CSC could be the variable frequency main generators or the auxiliary 94 power units. The input LC filter constituted by the inductor Lfi and the capacitor Cfi attenuates high-95 frequ...

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Simplified Model Predictive Control for AC/DC Matrix Converters With Active Damping Function Under Unbalanced Grid Voltage

Cited by 25 publications

References 39 publications

Design of the Current and the Voltage Observers for Active-Load-Balancer (ALB) in Model Predictive Control System

Design of the Current and the Voltage Observers for Active-Load-Balancer (ALB) in Model Predictive Control System

Reduction of DC Current Ripples by Virtual Space Vector Modulation for Three-Phase AC–DC Matrix Converters

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

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