Abstract
A model predictive current control method is proposed to reduce switching losses in an AC-DC matrix converter. In the proposed control strategy, several vectors are selected from among all possible switching vectors for a given location of the input current reference. The switching vector that minimizes the cost function is applied to the converter in the next sampling period. The principle of the proposed method involves clamping the selected switches to stop performing the switching operation to minimize the number of switchings in every sampling cycle. The total efficiency of the AC-DC matrix converter under the proposed strategy is 91.2% whereas that of the conventional strategy is 89.7%. In addition, unity-power-factor operation is guaranteed and smooth and sinusoidal waveforms are achieved. Finally, simulation and experimental results are demonstrated to confirm the validity of the proposed control strategy.
Highlights
AC-DC matrix converters (MCs), derived from the well-known matrix converter converter (MC), have garnered considerable attention as a new type of converter [1,2,3,4]
Several modulation methods have been successfully adapted to the AC-DC MCs [9]
The increase in the switching number and the switching losses owing to the commutations between non-adjacent vectors lead to undesirable losses in the AC-DC MC. To overcome these undesirable switching losses, this paper proposes an model predictive current control (MPCC) method with vector selection from among all valid switching states, and chooses the optimum switching state based on the cost function and applies it to the converter
Summary
AC-DC matrix converters (MCs), derived from the well-known MCs, have garnered considerable attention as a new type of converter [1,2,3,4]. Literature [22] investigates a unity-input-power-factor scheme for the AC-DC MCs. At each sampling period, the MPC algorithm considers all the possible switching states of an AC-DC MC generated by nine current vectors, predicts the future behaviors of input and output currents, and chooses the optimum switching state; this minimizing the cost function applied to the converter in the sampling cycle. The main principle of the proposed strategy is to clamp the switches for a given location of input current reference to stop performing the switching operation during every sampling period.
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