Model Predictive Control and Direct Power Control for PWM Rectifiers With Active Power Ripple Minimization

Zhang, Yongchang; Peng, Yubin; Qu, Changqi

doi:10.1109/tia.2016.2596240

Cited by 81 publications

(37 citation statements)

References 38 publications

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“…MPC uses a model of the system to predict the future behavior of the controlled variables. The prediction in turn is used by the controller to generate near-optimal control actions by minimizing a cost function [36]. Figure 5a shows the control structure for current control using MPC.…”

Section: Model Predictive Controllermentioning

confidence: 99%

Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Tamrakar

Shrestha

Malla³

et al. 2018

Applied Sciences

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The rapid transition towards an inverter-dominated power system has reduced the inertial response capability of modern power systems. As a solution, inverters are equipped with control strategies, which can emulate inertia by exchanging power with the grid based on frequency changes. This paper discusses the various current control techniques for application in these systems, known as virtual inertia systems. Some classic control techniques like the proportional-integral, the proportional-resonant, and the hysteresis control are presented first, followed by the design and discussion of two more advanced control techniques based on model prediction and machine learning, respectively. MATLAB/Simulink-based simulations are performed, and results are presented to compare these control techniques in terms of harmonic performance, switching frequency, and transient response.

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Section: Model Predictive Controllermentioning

confidence: 99%

Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Tamrakar

Shrestha

Malla³

et al. 2018

Applied Sciences

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“…To this aim, the notion of "duty cycle" is adopted, i.e., MPC computes the time instant within the sampling interval the new switch position should be applied to the converter. However, methods such as [20], [22]- [25], [27], are prone to suboptimality since the optimization problem is solved in two steps, i.e., the optimal switch positions are computed in the first optimization step, while the second step derives the "duty cycles". Furthermore, although the MPC algorithms in [19], [23], [26], [27] guarantee a constant switching frequency, they do not generate symmetrical switching patterns, resulting in non-discrete harmonic spectra.…”

Section: Introductionmentioning

confidence: 99%

Fixed Switching Frequency Direct Model Predictive Control With Continuous and Discontinuous Modulation for Grid-Tied Converters With LCL Filters

Καραμανάκος

Nahalparvari

Geyer

2021

IEEE Trans. Contr. Syst. Technol.

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This paper proposes two alternatives of a direct model predictive control (MPC) scheme for a three-phase twolevel grid-connected converter with an LCL filter. Although both approaches are implemented as direct control methods, i.e., they combine control and modulation in one computational stage, they operate the converter at a constant switching frequency and generate a discrete grid current harmonic spectrum. To achieve this, the first method allows for one switching transition per phase and sampling interval, implying that a fixed modulation cycle akin to pulse width modulation (PWM) results. Moreover, by appropriately designing the objective function of the optimization problem underlying MPC, grid current distortions similar to those of space vector modulation (SVM) are produced. As for the second approach, two phases are allowed to switch per sampling interval, emulating the behavior of discontinuous PWM. Consequently, thanks to the introduced formulations, harmonic limitations imposed by relevant grid codes can be met with the proposed methods. Furthermore, owing to the multipleinput multiple-output (MIMO) nature of both approaches, all output variables of the system can be simultaneously controlled. Finally, the inherent full-state information of MPC renders an additional active damping loop unnecessary, further simplifying the controller design. The presented performance assessment highlights the potential benefits of both proposed MPC-based algorithms.

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“…[6][7][8][9][10] The common control methods include voltage-oriented control (VOC) and direct power control (DPC). 11,12 In VOC, the grid currents are decomposed into active and reactive components through coordinate transformation and grid voltage orientation. Then two proportional integral controllers are employed to adjust the active and reactive components separately for active and reactive control in current inner-loop, and a proportional integral controller is used in voltage outer-loop due to their simple structures.…”

Section: Introductionmentioning

confidence: 99%

A modified sliding‐mode controller‐based mode predictive control strategy for three‐phase rectifier

Wang

Shi

et al. 2020

Circuit Theory & Apps

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Summary In three‐phase pulse width modulation rectifiers, proportional integral (PI) has been used in voltage outer‐loop to obtain the active current reference when using the conventional model predictive control strategy. However, the performance of the dynamic response is poor as large step and longer settling time are required on the active power under the load variation. To cope with this problem, a sliding‐mode controller can be employed to replace the PI controller. Nevertheless, the sliding‐mode variable structure control is discontinuous which leads to the chattering problem. In this work, a novel control strategy which combines a simplified model predictive control and a modified sliding‐mode control is proposed and investigated. The proposed strategy is supposed to reduce the effect of unexpected disturbances such as the DC‐link voltage step and the load variation. Simulation and experiments have been conducted for validation. The results indicate that the proposed strategy is feasible and has excellent dynamic response. Furthermore, it is easy to design and implement.

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Model Predictive Control and Direct Power Control for PWM Rectifiers With Active Power Ripple Minimization

Cited by 81 publications

References 38 publications

Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Fixed Switching Frequency Direct Model Predictive Control With Continuous and Discontinuous Modulation for Grid-Tied Converters With LCL Filters

A modified sliding‐mode controller‐based mode predictive control strategy for three‐phase rectifier

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