Article(id=1321491333173330749, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491279368794534, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.6.66, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1675785600000, receivedDateStr=2023-02-08, revisedDate=1683820800000, revisedDateStr=2023-05-12, acceptedDate=1690300800000, acceptedDateStr=2023-07-26, onlineDate=1792997685949, onlineDateStr=2026-10-26, pubDate=1761753600000, pubDateStr=2025-10-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792997685949, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792997685949, creator=13701087609, updateTime=1792997685949, updator=13701087609, issue=Issue{id=1321491279368794534, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='6', pageStart='1', pageEnd='352', issueExtLink='null', onlineDate='null', pubDate='1761753600000', pubDateStr='2025-10-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792997673122, creator='13701087609', updateTime=1792997908848, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321492268125631431, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491279368794534, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321492268125631432, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491279368794534, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=66, endPage=75, ext={EN=ArticleExt(id=1321491333861196606, articleId=1321491333173330749, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Dynamic Response Optimization Method for Multi-phase Interleaved Buck Converter Based on Model Predictive Control, columnId=1152281491305755501, journalTitle=Journal of Power Supply, columnName=DC-DC Converters, runingTitle=null, highlight=null, articleAbstract=
Aimed at the problems of insufficient dynamic performance and poor robustness in the traditional linear control, a dynamic response optimization method based on the model predictive control of a multi-phase interleaved Buck converter is proposed in this paper. First, the state space model of the interleaved Buck converter is optimized, and a virtual impedance method is put forward to realize the decoupling control of each phase converter. Second, a load disturbance observer and a continuous set model predictive controller based on one-step prediction are designed. The reference current is calculated based on the load current observation and the output voltage deviation, and the optimal duty cycle in each phase is obtained by substituting it into the predictive model with an objective of minimizing the current deviation. Finally, a simulation platform was built on Matlab/Simulink for simulation verification, and experiments were conducted on a three-phase Buck converter. Simulation and experimental results show that the proposed algorithm can effectively suppress the output voltage variations caused by load disturbances, improve the dynamic performance of the system, and ensure its robustness at the same time.
, authors=Peng ZHANG
1, Yang LIU
1, Weikang WANG
1, Zhixiu CHEN
1, Ye XIA
2, authorsList=Peng ZHANG, Yang LIU, Weikang WANG, Zhixiu CHEN, Ye XIA, authorCompany=null, correspAuthors=Yang LIU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321491336847541058, articleId=1321491333173330749, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于模型预测控制的多相交错Buck变换器动态响应优化方法, columnId=1149829799759339522, journalTitle=电源学报, columnName=DC-DC变换器, runingTitle=null, highlight=null, articleAbstract=
针对传统线性控制动态性能不足、鲁棒性差的问题,以多相交错Buck变换器为对象提出了一种基于模型预测控制的动态响应优化方法。首先优化了交错并联Buck变换器的状态空间模型,并提出一种虚拟阻抗方法,实现了各相变换器的解耦控制。其次设计了负载扰动观测器和基于一步预测的连续集模型预测控制器,根据负载电流观测值以及输出电压偏差计算参考电流,以最小化电流偏差为目标将其代入预测模型中,求解得到各相最优占空比。最后在Matlab/Simulink上搭建仿真平台进行仿真验证,并在三相Buck变换器上进行实验。仿真和实验结果表明,所提算法能有效抑制由负载扰动而引起的输出电压变化,提升系统的动态性能,同时保证了系统的鲁棒性。
, authors=张鹏
中国电源学会会员1, 刘洋
1, 王伟康
1, 陈之秀
1, 夏晔
2, authorsList=张鹏
中国电源学会会员, 刘洋, 王伟康, 陈之秀, 夏晔, authorCompany=null, correspAuthors=刘洋, authorNote=
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张鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力电子与模型预测控制。E-mail:pengzhang0611@163.com。
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张鹏(1998— ),男,中国电源学会会员,硕士研究生。研究方向:电力电子与模型预测控制。E-mail:pengzhang0611@163.com。
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