Virtual Vector-Based Direct Power Control of a Three-Phase Coupled Inductor-Based Bipolar-Output Active Rectifier for More Electric Aircraft Article Swipe
Yajun Zhao
,
Wenxin Huang
,
Feifei Bu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16073038
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16073038
Direct power control (DPC) has gained increasing attention in recent years as a simple and efficient control strategy for pulse width modulation (PWM) rectifiers. In this paper, the idea of DPC is introduced into the three-phase coupled inductor-based bipolar-output active rectifier (TCIBAR) for the first time, and a virtual vector-based direct power control (VVB-DPC) strategy is proposed for TCIBAR to realize the bipolar DC power supply for more electric aircraft (MEA). First, the mathematical model of the TCIBAR is deduced, and the basic principle of the classic DPC strategy is reviewed. On this basis, the limitations of the classic DPC strategy in TCIBAR control are analyzed. Second, a set of virtual vectors are derived to establish a novel virtual-vector switching table. Based on the virtual-vector switching table, the hysteresis power control of TCIBAR can be realized without affecting the DC-side neutral-point potential of TCIBAR. Finally, a neutral-point potential control method based on DPC architecture is studied and integrated into the VVB-DPC strategy to maintain the bipolar DC voltage balance of TCIBAR under unbalanced load conditions. The VVB-DPC strategy is experimentally studied on a TCIBAR prototype, and the experimental results verify the feasibility and effectiveness of the proposed strategy.
Related Topics
Concepts
PWM rectifier
Control theory (sociology)
Pulse-width modulation
Rectifier (neural networks)
Power (physics)
Inductor
Power control
Computer science
Engineering
Voltage
Electronic engineering
Control (management)
Electrical engineering
Physics
Machine learning
Recurrent neural network
Stochastic neural network
Artificial intelligence
Artificial neural network
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16073038
- https://www.mdpi.com/1996-1073/16/7/3038/pdf?version=1679908066
- OA Status
- gold
- Cited By
- 3
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361006858
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361006858Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en16073038Digital Object Identifier
- Title
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Virtual Vector-Based Direct Power Control of a Three-Phase Coupled Inductor-Based Bipolar-Output Active Rectifier for More Electric AircraftWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-27Full publication date if available
- Authors
-
Yajun Zhao, Wenxin Huang, Feifei BuList of authors in order
- Landing page
-
https://doi.org/10.3390/en16073038Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/16/7/3038/pdf?version=1679908066Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1996-1073/16/7/3038/pdf?version=1679908066Direct OA link when available
- Concepts
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PWM rectifier, Control theory (sociology), Pulse-width modulation, Rectifier (neural networks), Power (physics), Inductor, Power control, Computer science, Engineering, Voltage, Electronic engineering, Control (management), Electrical engineering, Physics, Machine learning, Recurrent neural network, Stochastic neural network, Artificial intelligence, Artificial neural network, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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