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Model predictive control (MPC) method with finite control set needs calculations according to the total number of voltage vectors made by multi-level converters. This operating principle of the MPC tends dramatically to increase the computational load and number of calculations when the level of cascaded H-bridge (CHB) inverters is increased. A new MPC algorithm is proposed in this paper for decreasing...
This paper proposes a new Maximum Power Point Tracking (MPPT) method based on the concept of Finite Control Set Model Predictive Control (FCS-MPC) for Photovoltaic (PV) applications. The proposed method uses the measured PV current and power data from previous steps to predict the power in the next step correspondent to various possible switching configurations of the power converter. Then it applies...
This paper studies the steady-state behavior of Finite Control Set (FCS) Model Predictive Control (MPC) for permanent-magnet synchronous machine (PMSM). The control actuation is formulated as a trajectory tracking problem in the αβ stator flux space. The concept of set stability and Control Invariant Set (CIS) is used to determine the smallest possible current, i.e. flux ripple. The best achievable...
A cascaded bridgeless totem-pole multilevel converter and its model predictive control (MPC) are proposed for the power interface of 400 V dc-powered data centers. Wide bandgap devices such as gallium nitride (GaN) or silicon carbide (SiC) MOSFETs with very low reverse recovery charge are utilized in the proposed totem-pole converter to reduce the switching loss. DC bus voltage error can be effectively...
The model predictive control (MPC) predicts all the possible behaviors and selects an optimal switching state which minimizes the predefined cost function at the next step, and is emerging as a powerful control method in power electronics. However, for a single phase T-NPC inverter with the conventional MPC method, only three different voltage vectors can be generated, which significantly impairs...
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