Online Current Loop Tuning for Permanent Magnet Synchronous Servo Motor Drives with Deadbeat Current Control Article Swipe
Zih-Cing You
,
Chenghong Huang
,
Sheng‐Ming Yang
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/en12183555
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/en12183555
High bandwidths and accurate current controls are essential in high-performance permanent magnet synchronous (PMSM) servo drives. Compared with conventional proportional–integral control, deadbeat current control can considerably enhance the current control loop bandwidth. However, because the deadbeat current control performance is strongly affected by the variations in the electrical parameters, tuning the controller gains to achieve a satisfactory current response is crucial. Because of the prompt current response provided by the deadbeat controller, the gains must be tuned within a few control periods. Therefore, a fast online current loop tuning scheme is proposed in this paper. This scheme can accurately identify the controller gain in one current control period because the scheme is directly derived from the discrete-time motor model. Subsequently, the current loop is tuned by updating the deadbeat controller with the identified gains within eight current control periods or a speed control period. The experimental results prove that in the proposed scheme, the motor current can simultaneously have a critical-damped response equal to its reference in two current control periods. Furthermore, satisfactory current response is persistently guaranteed because of an accurate and short time delay required for the current loop tuning.
Related Topics
Concepts
Control theory (sociology)
Current loop
Current (fluid)
Controller (irrigation)
Servo
Permanent magnet synchronous motor
Computer science
Electronic speed control
Loop (graph theory)
Servo control
Control engineering
Engineering
Control (management)
Magnet
Mathematics
Electrical engineering
Artificial intelligence
Agronomy
Biology
Combinatorics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en12183555
- https://www.mdpi.com/1996-1073/12/18/3555/pdf
- OA Status
- gold
- Cited By
- 9
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2974507355
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2974507355Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en12183555Digital Object Identifier
- Title
-
Online Current Loop Tuning for Permanent Magnet Synchronous Servo Motor Drives with Deadbeat Current ControlWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-09-17Full publication date if available
- Authors
-
Zih-Cing You, Chenghong Huang, Sheng‐Ming YangList of authors in order
- Landing page
-
https://doi.org/10.3390/en12183555Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/12/18/3555/pdfDirect 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
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https://www.mdpi.com/1996-1073/12/18/3555/pdfDirect OA link when available
- Concepts
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Control theory (sociology), Current loop, Current (fluid), Controller (irrigation), Servo, Permanent magnet synchronous motor, Computer science, Electronic speed control, Loop (graph theory), Servo control, Control engineering, Engineering, Control (management), Magnet, Mathematics, Electrical engineering, Artificial intelligence, Agronomy, Biology, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 2, 2022: 1, 2021: 3, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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