Predictive Control of Multilevel Inverters for Improving Performance and Efficiency in Energy Distribution and Drive Control
Predictive Control of Multilevel Inverters for Improving Performance and Efficiency in Energy Distribution and Drive Control
批准号:
120076147
负责人:
Professor Dr.-Ing. Ralph Kennel
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2009
资助国家:
德国
项目状态:
已结题
起止时间:
2008-12-31 至 2015-12-31
中文摘要
与标准的6脉冲逆变器相比,多电平变换器产生的输出电压更类似于正弦波形。在正弦波形必不可少的应用中(例如农村定居点,农场或具有低转矩脉动要求的电力驱动的电源),这将节省大量关于输出滤波器的投资。与标准逆变器相比,多电平逆变器的主要缺点是功率半导体的数量更多,控制方案更复杂,这阻碍了它们在工业上的应用。在多电平逆变器中,每个功率器件的阻断电压可以比标准脉冲逆变器中选择的小,因为在每个逆变器分支中有几个串联的功率开关。几个低压功率器件的价格仍然高于一个高压功率器件的价格。然而,价格差距减少,即使它不会完全消失,由于上述优势,多电平变换器的应用变得更有可能。本应用程序提出的项目的主要目标是找到多电平转换器拓扑与预测控制策略的组合,以提供三相正弦输出电压的优化系统。与一些评论家的观点不同,电力电子的预测控制实际上是一个非常有趣的研究课题——因此,IEEE工业电子学报在2009年出版了一期关于“预测控制”的专刊。此外,在Technische Universität m<e:1> nchen[21]举办了一个关于这一主题的讲习班。此外,一本关于基于模型的驱动系统预测控制的基础书籍由申请人b[25]出版。以同样的方式,预测控制策略与一些评论者的观点不同,不仅对低开关频率的大功率转换器有用-特别是在MPC策略([22],[23])中,这些标准是几种可能性之一,仅将技术要求结合在所谓的成本函数中,以分别优化预测控制。据申请人所知,目前德国在这一领域没有活跃的研究项目。这一申请将改变这种情况,并有助于德国与国际研究发展保持密切联系。
英文摘要
Multilevel converters produce output voltages which are much more similar to sinusoidal waveforms than those of standard 6-pulse inverters. In applications where sinusoidal waveforms are essential (e. g. power supplies of rural settlements, farms or electrical drives with low torque ripple requirements) this would save a lot of investment concerning output filters.The main disadvantages of multilevel inverters in comparison with standard inverters - preventing them from being applied very often in industry - are the higher number of power semiconductors and a more sophisticated control scheme.The blocking voltage of each power device in a multilevel inverter can be chosen smaller than in standard pulse inverters, as there are several power switches in series within each inverter leg. The prices of several power devices for low voltages are still higher than the price for a single high voltage power device. The price gap, however, decreases and even if it will not disappear completely, the application of multilevel converters becomes more probable due to the advantages mentioned above.The main goal of the project proposed by this application is to find a combination of multilevel converter topology with a predictive control strategy to provide an optimized system for three-phase sinusoidal output voltages.In difference to the opinion of some reviewers predictive control of power electronics is actually a highly interesting research topic - therefore the IEEE Transactions on Industrial Electronics have published a special issue on "Predictive Control" [24] in 2009. Furthermore, a workshop about this topic was conducted at Technische Universität München [21]. Additionally, a fundamental book about Model-based Predictive Control of drive systems was published by the applicant [25].In the same way predictive control strategies are in difference to the opinion of some reviewers useful not only for high power converters with low switching frequencies - especially in MPC strategies ([22], [23]) these criterions are one of several possibilities only to combine technical requirements in a so-called cost function to optimize the predictive control, respectively.According to the knowledge of the applicants there is no research project active in this area in Germany today. This application shall change the situation and contribute to Germany keeping close contact to internationalresearch developments.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
An efficient method to calculate optimal pulse patterns for multi-level converters
计算多电平转换器最佳脉冲模式的有效方法
DOI:
10.1109/icpe.2015.7167836
发表时间:
2015
期刊:
2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)
影响因子:
--
作者:
[R. Fotouhi, A. Sorokin, R. Kennel, H. du Toit Mouton]
通讯作者:
H. du Toit Mouton
An efficient method to calculate optimal pulse patterns for medium voltage converters
计算中压转换器最佳脉冲模式的有效方法
DOI:
10.1109/iecon.2014.7048658
发表时间:
2014
期刊:
IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
影响因子:
--
作者:
[R. Fotouhi, L. Leitner, R. Kennel, H. du Toit Mouton]
通讯作者:
H. du Toit Mouton
Online optimization of current distortion for MV drives based on stator flux trajectory predictions
基于定子磁通轨迹预测的中压驱动器电流畸变在线优化
DOI:
10.1109/precede.2015.7395577
发表时间:
2015
期刊:
2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
影响因子:
--
作者:
[R. Fotouhi, A. Sorokin, R. Kennel, H. d. T. Mouton]
通讯作者:
H. d. T. Mouton
Sensorless Control for Linear Electromagnetic Actuators with Permanent Magnet Mover
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批准号:418870390
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2019
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Anisotropy-based Sensorless Control at Excessive Load
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批准号:299463621
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2016
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
A high performance Si&SiC based hybrid asymmetrical multilevel cascaded H-bridge converter and its advanced control
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批准号:280610965
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2016
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Computationally-efficient direct model predictive control of three-level neutral-point clamped back-to-back converters for wind turbinesystems with permanent-magnet synchronous generators
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批准号:267888886
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2015
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Computationally efficient direct model predictive control with long prediction horizons for medium voltage drives.
-
批准号:273592357
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2015
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Model Predictive control design for switched inductor quasi-Z-source inverter in comparison with the traditional two-stage inverter based on Photovoltaic.
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批准号:262773038
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2015
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Sensorless control of permanent magnet synchronous machines with multiple saliencies
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批准号:247808669
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2014
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Exceeding the Physical Limits of Power Electronics by Inverter Cumulation
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批准号:229044796
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2013
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Direkte Regelung von Doppelwicklungsmaschinen
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批准号:220651979
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2012
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Geberlose Drehzahl- und Lagerregelung von Synchronmaschinen im kompletten Drehzahlbereich durch prädiktive Drehmomentregelung ohne Signalinjektion
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批准号:204480558
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2011
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Detektion von Mehrfach-Anisotropien zur geberlosen Regelung von Asynchronmaschinen
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批准号:190033837
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2011
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Modulare IGCT-Schaltzellen mit direkter Rückspeisung für Mittel- und Hochspannungsanwendungen
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批准号:70817170
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2008
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Temperaturschätzung der Rotor- und Statorwicklung bei sensorlos geregelten Asynchronmaschinen
-
批准号:74667890
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2008
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Reduzierung der Schaltverlustleistung bei hochsperrenden IGBTs
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批准号:12980978
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2005
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Traktionsantriebe mit Synchron-Reluktanz-Maschinen und geberloser Regelung für aggressive Umweltbedingungen im Bergbau
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批准号:5438395
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2004
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Rotor position identification with amplitude modulated complex space vector
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批准号:5363571
-
项目类别:Research Grants
-
资助金额:$0.0万
-
财政年份:2001
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
Serial connection of IGCTs for high voltage converters
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批准号:5316056
-
项目类别:Priority Programmes
-
资助金额:$0.0万
-
财政年份:2001
-
负责人:Professor Dr.-Ing. Ralph Kennel
-
依托单位:
国内基金
海外基金
Cortical control of internal state in the insular cortex-claustrum region
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批准号:--
-
项目类别:--
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资助金额:25万元
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批准年份:2020
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负责人:Robert Konrad Naumann
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依托单位: