Indirect MPC method with improved output voltage and current waveforms for MMCs

Nguyen, Minh Hoang; Kwak, Sangshin; Choi, Seungdeog

doi:10.1007/s43236-022-00384-3

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…To achieve this, a relation is derived between actual and ideal predicted values of output current. From (8), the subsequent correlation can be derived:…”

Section: Effect Of Parameter Mismatchmentioning

confidence: 99%

“…[3][4][5][6] MPC-based control methods have attracted considerable attention from researchers as they provide superior dynamic performance. 7,8 Among the various MPC-based control methods, finite control set (FCS) MPC is a widely adopted one for the control of MMCs as it does not require modulators. 9 In Bocker et al, 10 the performance of the FCS-MPC is compared against the classical linear control through experimental studies.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous control techniques for the MMCs have been reported in the literatures, such as classical linear control, sliding mode control, and model predictive control (MPC) 3–6 . MPC‐based control methods have attracted considerable attention from researchers as they provide superior dynamic performance 7,8 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Arm‐current sensorless model predictive control for grid‐interfacing modular multilevel converter with reduced switching frequency

Sharma,

Chilipi,

Praveen Kumar

2024

Circuit Theory & Apps

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Model predictive control (MPC) emerges as an attractive alternative for the control of modular multilevel converters (MMCs) owing to its superior dynamic performance and ease of implementation. Nevertheless, conventional MPC's performance could be further improved by reducing dependence on weighting factors, switching frequency, and computational burden. To achieve these objectives, an arm‐current sensorless MPC is developed for a grid‐interfacing MMC in this article. The MPC is integrated with an arm‐current sensorless reduced switching frequency voltage balance algorithm that requires only switching vectors (where number of submodules per arm) to optimize the cost function. This method does not require knowledge of arm‐current direction to decide the charging and discharging state of the submodule capacitors. The developed control not only reduces the switching frequency of devices but also eliminates the need to sense the arm currents. As a result, it reduces the system's cost, complexity, computational burden, switching losses and provides a more reliable control method for MMCs with superior dynamic performance. Further, the effect of parameter mismatch on the developed MPC's dynamic performance and stability is studied. The developed MPC's effectiveness is validated through both simulation and experimental results and also compared with existing methods under different conditions.

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“…To achieve this, a relation is derived between actual and ideal predicted values of output current. From (8), the subsequent correlation can be derived:…”

Section: Effect Of Parameter Mismatchmentioning

confidence: 99%