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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
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    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.
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    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.

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