• The Transactions of the Korean Institute of Power Electronics
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• v.21 no.6
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• pp.457-464
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• 2016

This study proposes a bi-directional buck-boost converter controller design method for ESS using the MATLAB SISO tool. The conventional two-loop controller design is based on a continuous S-domain model that designs each controller independently. The demerit of the conventional method is that optimal performance is not easily achieved and extensive trials and errors are required because two-loop systems interact with one another. Using the MATLAB SISO tool based on the design method proposed in this work overcomes the disadvantages of the conventional method. In the proposed method, the SISO tool can select the location of the poles and zeroes of the open loop system, thereby facilitating the effective design of a high-performance controller. The design sequence is detailed systematically, and the performance of the method is verified with a computer simulation and 10 kW experimental system.

• The Transactions of the Korean Institute of Power Electronics
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• v.22 no.1
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• pp.1-8
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• 2017

The optimal gain design method of a three-phase boost converter is proposed in this study. The control system has a two-loop configuration, in which each controller is coupled closely; thus, the optimal design is difficult to achieve using conventional gain-tuning method. The proposed method is adopted to the MATLAB SISO TOOL software and is based on the controller requirements, which are phase margin and cut-off frequency of the open-loop system. The optimal proportional -integral gains can be designed easily using the proposed interactive method of the SISO TOOL. The performance of the proposed system is verified through simulation and experiments.

• Proceedings of the KIPE Conference
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• 2018.07a
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• pp.282-283
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• 2018

본 연구에서는 양방향 인버터의 해석과 설계 방법을 Matlab SISO TOOL과 PSIM을 이용한 Two Loop Control방법으로 제안하였다. 일반적인 회로 및 제어기 설계 방법으로는 회로와 제어기를 각각 설계하여 시제품으로 측정하는 방법과 이상적인 모델을 이용하여 시뮬레이션 하는 방법을 사용한다. 본 논문에서는 상용소자모델로 구성된 인버터를 PSIM으로 설계하였고, Matlab을 이용하여 시뮬레이션 함으로써 일반적인 방법보다 높은 신뢰성을 가지는 시뮬레이션 방법을 제안한다.