Fixed switching frequency model predictive control and passivity based control for DC-DC converter

• Autorzy: Zhang Yajing , Shen Yuqing , Huang BaoYing , Zhang Jiangchao , Chang Haojing

Identyfikatory

DOI

10.24425/bpasts.2024.152209

• Języki publikacji: EN

Abstrakty

EN

The DC-DC converter represents a crucial component in renewable energy sources. The stability and dynamic capability enhancement of the DC/DC converter have emerged as a significant research topic in the current era. Model predictive control (MPC) is particularly prevalent due to its high dynamic response speed, simplicity of the controller design, and capacity for multi-objective optimization. However, the traditional finite control set model predictive control (FCS-MPC) method suffers as a result of variable switching frequency and vast computing. To improve the dynamic performance of the converter, a novel nonlinear control strategy named fixed switching frequency MPC and passivity-based control (PBC), named FSF-PBMPC, are both proposed. They could allow to achieve fixed switching frequency and to enhance the system’s dynamic response speed. Firstly, the Euler-Lagrange (EL) model of the boost converter is established. Secondly, the relationship between duty cycle and MPC is established. Ultimately, the output voltage of PBC is incorporated into the cost function of the FCS-MPC. The characteristics of PBC power shaping and damping injection can enhance the system’s immunity to interference, improve the system’s dynamic response speed, and thus reinforce the system’s stability. Then, depending on MATLAB, the simulation results can prove that the proposed strategy has the effect we expected.

Słowa kluczowe

EN

DC-DC converter; FCS-MPC; passivity based control; finite control set model predictive control

PL

konwerter DC-DC; przetwornica DC-DC; FCS-MPC; przetwornica napięcia stałego; pasywne sterowanie; sterowanie predykcyjne

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2025
• Tom: Vol. 73, nr 1
• Strony: art. no. e152209
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr.

Twórcy

autor

Zhang Yajing

• School of Automation, Beijing Information Science & Technology University, Beijing, China

• https://orcid.org/0000-0001-5344-7568

autor

Shen Yuqing

• School of Automation, Beijing Information Science & Technology University, Beijing, China

autor

Huang BaoYing

• State Grid Economic and Technological Research Institute Co., Ltd, Beijing, China

autor

Zhang Jiangchao

• State Grid Economic and Technological Research Institute Co., Ltd, Beijing, China

autor

Chang Haojing

• State Grid Corporation Gansu, Power Grid Construction Division, Gansu, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).