PLECS simulation files of DAB control methods

Citation Author(s):
Shuai
Shao
Zhejiang University
Submitted by:
Shuai Shao
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/gz8v-2s83
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Abstract 

These PLECS simulation files are for the article: Modeling and Advanced Control of Dual Active Bridge DC-DC Converters: A Review. The simulation files of the following DAB control methods are included: feedback-only control, linearization control, feedforward plus feedback, disturbance-observer-based control, feedforward current control, model predictive current control and moving discretized control set model predictive. Besides, a simulation file comparing the DAB circuit and the reduced order model is also provided.

Instructions: 

These PLECS simulation files are for the article: Modeling and Advanced Control of Dual Active Bridge DC-DC Converters: A Review. Please simulate these files using PLECS Standalone Version 4.1.2 or above.

Introduction of these simulation files:

(1) Comparison_DAB_reduced_order_mdl.plecs: Compare the DAB circuit with reduced order model.

(2) DAB_feedback_only.plecs: Simulation file of the feedback only control (Fig. 16 in [1]).

(3) DAB_linearization_ctrl.plecs: Simulation file of the linearization control (Fig. 19 in [1]).

(4) DAB_OCFF.plecs: Simulation file of the Output current feedforward (OCFF) control (Fig. 22 in [1]).

(5) DAB_VDPC.plecs: Simulation file of the Virtual Direct Power Control (VDPC) (Fig. 25 in [1]).

(6) DAB_DOBC.plecs: Simulation file of the Disturbance-Observer-Based Control (DOBC) (Fig. 28 in [1]).

(7) DAB_FFCC.plecs: Simulation file of the Feed-Forward Current control (FFCC): (Fig. 30 in [1]).

(8) DAB_current_predictive_ctrl.plecs: Simulation file of the predictive current control: (Fig. 34 in [1]).

(9) DAB_MDCS_MPC.plecs: Simulation file of the MDCS_MPC: (Fig. 40 in [1]).

[1] S. Shao, L. Chen, Z. Shan, F. Gao, H. Chen, D. Sha, T. Dragičević, “Modeling and Advanced Control of Dual Active Bridge DC-DC Converters: A Review”, IEEE Transactions on Power Electronics

Comments

Thank you so much! Professor Shao!

Submitted by Chen Shi on Sun, 04/17/2022 - 04:28

Thanks to Prof. Shao's selfless dedication, the open source code saved me a lot of work.

Submitted by Qianyi Shang on Tue, 06/07/2022 - 21:47

Thanks you so much! It is excellent work!

Submitted by zhenchao Li on Tue, 08/09/2022 - 11:08

Thanks you!Prof. Shao

Submitted by yufan li on Tue, 12/12/2023 - 03:14