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Conventional Finite Control Set Model Predictive Power Control (FCS-MPPC) has been in constant development, especially in the two-level AC/DC converter, because it has many advantages such as good steady state performance, quick dynamic response and flexibility in the definition of control objectives. However, single voltage vector applied in one control period is hard to reduce the power ripples...
In recent years, finite control set model predictive control (FCS-MPC) has received considerable attention, because it has many advantages such as flexibility in the definition of control objectives, ease of implementation and fast dynamic response. However, some drawbacks of FCS-MPC, such as requiring a large amount of calculations, have also hindered its range of applications. In order to solve...
This paper presents a comparative study of direct power control (DPC) and model predictive control (MPC) for three-level neutral-point-clamped (NPC) AC/DC converters. The operating principle of DPC and MPC are introduced in detail, with focus on vector selection mechanism and suppression of neutral point voltage fluctuation. Special care is given to the avoidance of high voltage jumps in both phase...
Conventional model predictive current control (M-PCC) uses the discrete-time system model to select the best voltage vector by minimizing a cost function, which is related to the current errors. However, due to the limited number of voltage vectors in two-level converters, the sampling frequency has to be high to achieve satisfactory performance. To improve the steady state performance of conventional...
Finite control set model predictive control (FCS-MPC) is emerging as a powerful control scheme in the control of power converters, because it takes the discrete nature of power converters into account and offers a flexible way to consider various constraints. However, conventional FCS-MPC requires to evaluate a cost function for each discrete switching states, which poses high computational burden...
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