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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2020, Vol. 54 Issue (1): 169-177    DOI: 10.3785/j.issn.1008-973X.2020.01.020
Electrical Engineering     
Backflow power suppression of synchronous Boost converter based on recursive least squares and kernel density estimation method
Jing-cheng LI(),Yue WU,Si-deng HU*(),Jian-jiang SHI
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  

The problem of backflow power of synchronous rectifier Boost converter under no load and light load was analyzed in order to improve the efficiency of no-load and light-load synchronous rectifier Boost converter. A backflow power suppression strategy which can accurately identify the power backflow state and turn off the synchronous MOSFET rectification transistor was proposed according to the waveforms and working characteristics of the circuit. Recursive least squares (RLS) and kernel density estimation (KDE) were introduced to reduce the influence of inductance error and sampling error on the accuracy of the strategy in order to ensure the accuracy and efficiency of the strategy. The simulation and experiment platform of 1 kV·A aeronautical static converter was constructed. The simulation and experimental results show that this control strategy has high accuracy for power backflow recognition. The backflow power was significantly suppressed, and the no-load and the light-load efficiency of the circuit were improved.

Key words： Boost converter      synchronous rectification      recursive least squares method (RLS)      kernel density estimation (KDE)      backflow power suppression     
Received: 03 December 2018      Published: 05 January 2020
CLC:  TM 46  
Corresponding Authors: Si-deng HU     E-mail: jingchengli@zju.edu.cn;husideng@zju.edu.cn
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Jing-cheng LI
Yue WU
Si-deng HU
Jian-jiang SHI
Cite this article:

Jing-cheng LI,Yue WU,Si-deng HU,Jian-jiang SHI. Backflow power suppression of synchronous Boost converter based on recursive least squares and kernel density estimation method. Journal of ZheJiang University (Engineering Science), 2020, 54(1): 169-177.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2020.01.020     OR     http://www.zjujournals.com/eng/Y2020/V54/I1/169


基于递推最小二乘法与核密度估计的同步整流Boost变换器回流功率抑制

为了提高同步整流Boost变换器空载、轻载的工作效率，针对同步整流Boost变换器空载、轻载时存在的功率回流问题，分析该状态下电路的工作波形与工作特性. 根据电路工作特性，提出能够准确识别功率回流状态并关断同步整流开关管的功率回流抑制策略. 为了保证策略的精度与效率的优化，引入递推最小二乘法（RLS）和核密度估计（KDE），减少了电感误差和采样误差对策略精度的影响. 搭建1 kV·A航空静止变流器仿真和实验平台进行验证. 仿真和实验结果表明，该控制策略对功率回流的识别精度高，能够显著抑制回流功率，提高了电路空载和轻载效率.


关键词： Boost变换器,  同步整流,  递推最小二乘法（RLS）,  核密度估计（KDE）,  回流功率抑制 
Fig.1 Topology of synchronous Boost converter
Fig.2 Waveforms of synchronous Boost converter with power backflow
参数 参数值
输入电压 Vin/V 28
输出电压 Vo/V 40
开关频率 fs/kHz 100
升压电感 L/μH 16
滤波电容 C/μF 1 000
Tab.1 Parameters of studied Boost converter
Fig.3 Kernel density estimation curves of D2，Vin=20 V
Fig.6 Kernel density estimation curves of D2，Vin=32 V
Fig.4 Kernel density estimation curves of D2，Vin=24 V
Fig.5 Kernel density estimation curves of D2，Vin=28 V
Fig.7 Waveforms with power backflow，Ro=200 Ω
Fig.8 Waveforms using backflow power suppression strategy，Ro=200 Ω
Fig.9 Experimental platform of aeronautical static converter
Fig.10 Flow chart of experimental method based on recursive least squares and kernel density estimation
Fig.11 Time-domain waveform of single time inductance identification，Vin=28 V，Ro=20 Ω
Fig.12 Distribution of inductor identification errors
Fig.13 Waveforms with power backflow
Fig.14 Waveforms using backflow power suppression strategy
Fig.15 Waveforms of critical CCM mode，Ro=21 Ω
Fig.16 Waveforms from CCM mode to DCM mode using backflow power suppression strategy
Fig.17 Load current-efficiency curves of Boost converter
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