IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i16p3177-d258900.html
   My bibliography  Save this article

Linearized Discrete Charge Balance Control with Simplified Algorithm for DCM Buck Converter

Author

Listed:
  • Run Min

    (School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Dian Lyu

    (School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Shuai Cheng

    (Silergy Semiconductor Technology Co., Ltd., Hangzhou 310000, China)

  • Yingshui Sun

    (Commercial Headquarters, COSCO Shipping Heavy Industry Co., Ltd., Shanghai 200135, China)

  • Linkai Li

    (School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

In this paper, a linearized discrete charge balance (LDCB) control strategy is proposed for buck converter operating in discontinuous conduction mode (DCM). For DC-DC power converters, discrete charge balance (DCB) control is an attractive approach to improve the output voltage transient response. However, as a non-linear control strategy, the algorithm is complex, which is difficult for implementation. To reduce the complexity, this paper proposes the LDCB control strategy that is derived through linearizing conventional DCB controller. By deriving the differential functions of the DCB control algorithm, the small signal relationship between the input and output of DCB controller is explored. Furthermore, based on the relationship, the LDCB controller is formed through three parallel feed loops to the duty ratio. As a linear control approach, the achieved LDCB controller is greatly simplified for implementation. This not only saves the hardware cost, but also reduces the calculation lag, which provides potential to improve the switching frequency. Besides, since the LDCB controller shares the same small signal model as that of DCB controller, it achieves similar control loop bandwidth and transient performance. Effectiveness of the proposed LDCB control is verified by zero/pole plots, transient analyses and experimental results.

Suggested Citation

  • Run Min & Dian Lyu & Shuai Cheng & Yingshui Sun & Linkai Li, 2019. "Linearized Discrete Charge Balance Control with Simplified Algorithm for DCM Buck Converter," Energies, MDPI, vol. 12(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3177-:d:258900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/16/3177/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/16/3177/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lujun Wang & Jiong Guo & Chen Xu & Tiezhou Wu & Huipin Lin, 2019. "Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge," Energies, MDPI, vol. 12(11), pages 1-20, June.
    2. Mircea Gurbina & Aurel Ciresan & Dan Lascu & Septimiu Lica & Ioana-Monica Pop-Calimanu, 2018. "A New Exact Mathematical Approach for Studying Bifurcation in DCM Operated dc-dc Switching Converters," Energies, MDPI, vol. 11(3), pages 1-25, March.
    3. Xiaofeng Zhang & Run Min & Donglai Zhang & Yi Wang, 2018. "An Optimized Sensorless Charge Balance Controller Based on a Damped Current Model for Flyback Converter Operating in DCM," Energies, MDPI, vol. 11(12), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei Wang & Gaoshuai Shen & Run Min & Qiaoling Tong & Qiao Zhang & Zhenglin Liu, 2020. "State Switched Discrete-Time Model and Digital Predictive Voltage Programmed Control for Buck Converters," Energies, MDPI, vol. 13(13), pages 1-21, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huafeng Xia & Feiyan Chen, 2020. "Filtering-Based Parameter Identification Methods for Multivariable Stochastic Systems," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    2. Chia-Hsuan Wu & Guan-Rong Huang & Cheng-Chih Chou & Ching-Ming Lai & Liang-Rui Chen, 2021. "A Compensated Peak Current Mode Control PWM for Primary-Side Controlled Flyback Converters," Energies, MDPI, vol. 14(22), pages 1-12, November.
    3. Aissa Benhammou & Mohammed Amine Hartani & Hamza Tedjini & Hegazy Rezk & Mujahed Al-Dhaifallah, 2023. "Improvement of Autonomy, Efficiency, and Stress of Fuel Cell Hybrid Electric Vehicle System Using Robust Controller," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    4. Aaron Shmaryahu & Nissim Amar & Alexander Ivanov & Ilan Aharon, 2021. "Sizing Procedure for System Hybridization Based on Experimental Source Modeling for Electric Vehicles," Energies, MDPI, vol. 14(17), pages 1-21, August.
    5. Teuvo Suntio, 2018. "Modeling and Analysis of a PCM-Controlled Boost Converter Designed to Operate in DCM," Energies, MDPI, vol. 12(1), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3177-:d:258900. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.