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Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces to maximize the energy harvest by continuous operation at maximum power point (MPP). This paper proposes a sensorless current model predictive control maximum power point tracking (SC-MPC-MPPT) algorithm. By predicting the future behavior of the power conversion...
Model Predictive Control (MPC) is an optimization based control method that solves a multi-objective optimization problem to determine the optimal control action that minimizes a given cost function. This control technique is very promising for switching converters because its implementation is straightforward and it has been shown to provide good performance. This paper presents predictive control...
For medium-voltage drives, model predictive direct torque control (MPDTC) significantly reduces the switching losses and/or the harmonic distortions of the torque and stator currents, when compared to standard schemes, such as direct torque control or pulse width modulation. Extending the prediction horizon in MPDTC further improves the performance. At the same time, the computational burden is greatly...
Permanent magnet synchronous motors (PMSM) have been receiving much attention due to their high efficiency. Usually, an inverter is used to drive the PMSM. In conventional current control systems, the inverter is regarded as an ideal amplifier. However, there exist various constraints such as voltage saturation in current transient response and output nonlinearity in overmodulation. In addition, an...
Permanent magnet synchronous motors (PMSM) have been receiving much attention. In conventional current control systems, the inverter is regarded as an ideal amplifier. In this paper, we propose a novel model predictive control (MPC) based current control system that improves performance in cases where the inverter cannot provide the appropriate input. The effectiveness of the proposed method is illustrated...
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