Predictive control algorithm for capacitor-less inverters with fast dynamic response

Injung Won, Yongsoo Cho, Kyo-Beum Lee
{"title":"Predictive control algorithm for capacitor-less inverters with fast dynamic response","authors":"Injung Won, Yongsoo Cho, Kyo-Beum Lee","doi":"10.1109/PECON.2016.7951609","DOIUrl":null,"url":null,"abstract":"This paper presents a scheme to improve the input current ripple of capacitor-less inverter system using a predictive control algorithm. The capacitor-less inverter, which is using small capacitor in the dc-link, has several advantages such as competitive cost, compact size, enhanced reliability, and elimination of initial charging circuit. However, the dc-link voltage shows instability because the energy storage capability of the small capacitor is not sufficient. Therefore, DC-link shunt compensator (DSC) should be used in capacitor-less inverter to stabilize the dc-link voltage and nullify the negative impedance by injecting the compensation current. However, the general proportional integral (PI) current controller, which has wide bandwidth to track the compensation current having a sinusoidal waveform, is weak for the noise and disturbance. This paper proposes a model predictive control (MPC) algorithm to improve the performance of DSC. Given the optimal duty cycle calculated by estimating the next state current, the proposed algorithm has a fast dynamic response and accuracy. The proposed method is verified through PSIM simulations.","PeriodicalId":259969,"journal":{"name":"2016 IEEE International Conference on Power and Energy (PECon)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECON.2016.7951609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

This paper presents a scheme to improve the input current ripple of capacitor-less inverter system using a predictive control algorithm. The capacitor-less inverter, which is using small capacitor in the dc-link, has several advantages such as competitive cost, compact size, enhanced reliability, and elimination of initial charging circuit. However, the dc-link voltage shows instability because the energy storage capability of the small capacitor is not sufficient. Therefore, DC-link shunt compensator (DSC) should be used in capacitor-less inverter to stabilize the dc-link voltage and nullify the negative impedance by injecting the compensation current. However, the general proportional integral (PI) current controller, which has wide bandwidth to track the compensation current having a sinusoidal waveform, is weak for the noise and disturbance. This paper proposes a model predictive control (MPC) algorithm to improve the performance of DSC. Given the optimal duty cycle calculated by estimating the next state current, the proposed algorithm has a fast dynamic response and accuracy. The proposed method is verified through PSIM simulations.
动态响应快的无电容逆变器预测控制算法
本文提出了一种利用预测控制算法改善无电容逆变器系统输入电流纹波的方案。无电容逆变器是在直流链路中使用小电容的逆变器,具有成本竞争、体积紧凑、可靠性提高、省去初始充电电路等优点。然而,由于小电容的储能能力不够,直流链路电压表现出不稳定。因此,在无电容逆变器中应采用直流并联补偿器(DSC),通过注入补偿电流来稳定直流电压并消除负阻抗。然而,一般的比例积分(PI)电流控制器具有宽带宽来跟踪具有正弦波形的补偿电流,对噪声和干扰的抑制能力较弱。本文提出了一种模型预测控制(MPC)算法来提高DSC的性能。通过估计下一状态电流计算最优占空比,该算法具有快速的动态响应和精度。通过PSIM仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信