Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability.

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Title: Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability.
Authors: Rakhshani, Elyas1 (AUTHOR) elyas.rakhshani@gmail.com, Rouzbehi, Kumars2 (AUTHOR), Escaño, Juan Manuel2 (AUTHOR), Rueda Torres, Jose1 (AUTHOR)
Source: Electric Power Components & Systems. 2020, Vol. 48 Issue 1/2, p30-41. 12p.
Subjects: MathWorks Inc., Closed loop systems, Systems design, Linear control systems
Geographic Terms: Natick (Mass.)
Abstract: In this paper, a new control approach using an optimal linear control with prescribed degree of stability for modular multi-level converters (MMC) is presented and analyzed. The proposed controller relies on a linear quadratic regulator with integral action which brings the ability of state variable reference tracking for modular multi-level converters. Since MMC is a complex system with several state variables, a unified control system design for this system is vital. The proposed controller of this study is designed to obtain wider stability margin thanks to the implementation of prescribed degree of stability concept to minimize the quadratic performance index of the control structure. By means of this method, the poles of the closed-loop system will be shifted to the desired places in the left half side of the S-plane. The main advantages of this control strategy compared to previous methods are that it will be possible to control the state of energy for each phase separately, while there will be superior tolerance to nonlinearities and the enhanced stability margin with less sensitivity to plant-parameter variations. The performance of the designed controller is verified through MATLABTM simulations (The MathWorks, Natick, MA, USA) with the nonlinear model of MMC. [ABSTRACT FROM AUTHOR]
Copyright of Electric Power Components & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: In this paper, a new control approach using an optimal linear control with prescribed degree of stability for modular multi-level converters (MMC) is presented and analyzed. The proposed controller relies on a linear quadratic regulator with integral action which brings the ability of state variable reference tracking for modular multi-level converters. Since MMC is a complex system with several state variables, a unified control system design for this system is vital. The proposed controller of this study is designed to obtain wider stability margin thanks to the implementation of prescribed degree of stability concept to minimize the quadratic performance index of the control structure. By means of this method, the poles of the closed-loop system will be shifted to the desired places in the left half side of the S-plane. The main advantages of this control strategy compared to previous methods are that it will be possible to control the state of energy for each phase separately, while there will be superior tolerance to nonlinearities and the enhanced stability margin with less sensitivity to plant-parameter variations. The performance of the designed controller is verified through MATLABTM simulations (The MathWorks, Natick, MA, USA) with the nonlinear model of MMC. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Electric Power Components & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/15325008.2020.1732502
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        Text: English
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      – SubjectFull: MathWorks Inc.
        Type: general
      – SubjectFull: Closed loop systems
        Type: general
      – SubjectFull: Systems design
        Type: general
      – SubjectFull: Linear control systems
        Type: general
      – SubjectFull: Natick (Mass.)
        Type: general
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      – TitleFull: Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability.
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            NameFull: Rouzbehi, Kumars
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            NameFull: Escaño, Juan Manuel
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            NameFull: Rueda Torres, Jose
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              Text: 2020
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