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Averaged models and control of modular multilevel converters

Averaged models and control of modular multilevel converters
模块化多电平变换器的平均模型和控制
批准号:
420450342
负责人:
Professor Dr.-Ing. Albrecht Gensior
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2022-12-31

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中文摘要
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英文摘要
The research project deals with the control design for modular multilevel converters which are used for instance in medium-voltage drives or for high-voltage dc transmission applications. More specifically, the problem of symmetrizing the energies between the arms is to be tackled while the output currents must meet the requirements of the load. This renders the system underactuated which means that the dimension of the input is too low in order to control all variables. However, considering the averaged behavior of the system quantities on a slower timescale offers the possibility to introduce more input variables. This step, often made implicitly and without deriving a dynamic model for the averaged system, is to be backed by singular perturbation methods closing the existing scientific gap. As a side effect, it is desired to show that the known implementations are compatible with the averaging framework to be developed. It is expected that characteristic properties of the original system are maintained by a formal application of the modelling scheme such that these properties can be taken care of in the controller design. Furthermore, the averaging formalism will introduce more input variables than required which offers the possibility to share the control action among them in order to meet additional goals such as the consideration of limitations. Since the modelling scheme will be attractive for other (underactuated) arm-based topologies as well, it is desired to generalize the findings appropriately. The results of the modelling and control design will be verified experimentally using an already existing testbench.
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Nonlinear, model-based control of modular multilevel converters
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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  • 批准号:
    41105105
  • 项目类别:
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  • 资助金额:
    25.0万元
  • 批准年份:
    2011
  • 负责人:
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  • 依托单位:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2009
  • 负责人:
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  • 依托单位:
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