Abstract
The conventional model-predictive-based direct power control (MPDPC) of the three-phase full-bridge AC/DC converters chooses the best single voltage vector for the following control period, which results in variable switching frequency and power distortion, and thus a relatively higher sampling frequency is needed to achieve acceptable results. This paper proposes a simplified dual-vector-based predictive direct duty-cycle-control (SPDDC) with an additional zero vector implemented in contrast to the MPDPC. With the same best vector selection method, the proposed strategy has retained the control simplicity with just one more step added and much better control performance as well as a fixed switching frequency in comparison to the MPDPC. On the other hand, the duty-cycle optimization procedure is eliminated while the negative duration issue is essentially resolved compared with the conventional dual-vector-based model predictive duty-cycle-control (MPDCC). Comprehensive comparisons of various control methods by numerical simulation and experimental testing show that the SPDDC can achieve better steady state and dynamic performance than the MPDPC and simpler algorithms than the MPDCC.
Highlights
The three-phase full-bridge AC/DC converter is a popular device widely applied in various applications, such as integration of renewable energy resources, electric drives, voltage source converter transmission, and so on
SIMPLIFIED PREDICTIVE DIRECT DUTY-CYCLE-CONTROL To solve the issues mentioned above, this paper proposes the simplified dual-vector-based predictive direct duty-cycle-control (SPDDC), which differs from the model-predictive-based direct power control (MPDPC) by just adding one more step of the duty-cycle calculation
A simplified dual-vector-based SPDDC strategy for three-phase AC/DC converters is proposed in this paper to eliminate the time consuming procedure of duty-cycle optimization
Summary
The three-phase full-bridge AC/DC converter is a popular device widely applied in various applications, such as integration of renewable energy resources, electric drives, voltage source converter transmission, and so on. By emulating the implementation of SVM, the proposed method assigns a portion of the control period directly in reciprocal proportional with the cost function value of corresponding optimal dual vectors, which means the cost function is used for the best vector selection and applied for duration calculation. It can eliminate the power slope calculation of each vector as in (12), which is more intuitive compared with the MPDCC while retaining the fixed-switching frequency feature.
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