Dae-Keun Choi, “모델예측기반의 직접전력제어를 사용하는 AC/DC 및 DC/DC 컨버터의 동적응답특성 개선,” 아주대학교 공학박사 학위 논문, 2015. > Paper

This paper proposes techniques for performance improvement and analyzes problems generated when model predictive direct power

control (MPDPC) is applied to AC/DC/DC converter.  Firstly, this paper presents a control scheme for the dynamic performance

improvement of an AC/DC converter using the model predictive direct power control with duty cycle. In the MPDPC, the active and

reactive powers are simultaneously controlled with a single cost function. If either of the two control targets has a large power

variation, the control weight is concentrated on one side which causes the mutual interference. Because of such mutual interference,

the control dynamics of the AC/DC converter deteriorates. Due to the control weight being concentrated on one side using the

single cost function, the dynamic performance of the system is improved by reconfiguring the cost function that has the weighting

factor to minimize the decline of the system dynamics which is caused by the mutual interference, even if the control dynamics of

the other side decreases. The effectiveness of the proposed control scheme is verified by comparing its results with those of the

conventional MPDPC. Secondly, it presents a model predictive direct power control for interleaved multiphase DC/DC converters. The

power values necessary to adjust the output voltage in the succeeding are predicted using a converter model. The output power is

controlled by selecting the optimal duty cycle. The proposed method does not require controller loops and modulators for converter

switching. This method can control the converter by calculating the optimal duty cycle, which minimizes the error between the

reference and actual output voltage. The effectiveness of the proposed method is verified through simulations and experiments.