Online Identification Method for Mechanical Parameters of Dual-Inertia Servo System Article Swipe
Bo Wang
,
Runze Ji
,
Chengpeng Zhou
,
Kai Liu
,
Wei Hua
,
Hairong Ye
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en18010079
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en18010079
Rotary table servo systems are widely used in industrial manufacturing. In order to satisfy the demands of low-speed and high-torque applications, rotary table servo systems are typically applied with a reduction gear and gearbox, causing transmission system limit loop oscillation and reducing the system’s transmission accuracy. Accordingly, the single-axis servo rotary table is taken as the object of study, with the objective of enhancing the positioning precision of the load side. The identification of the mechanical parameters of the dual-inertia servo system is thus undertaken. A simplified mathematical model of the dual-inertia system is constructed, the principle of mechanical parameter identification of the dual-inertia system is elucidated, an online identification algorithm based on the forgetting factor recursive least square (FFRLS) is investigated, and factors affecting the identification accuracy are analyzed. The efficacy of the recognition algorithm is validated through simulations and experimentation. The experiments on the DSP 28,335 platform demonstrate that the dual-inertia system mechanical parameter recognition algorithm is capable of identifying rotor inertia, load inertia, and shaft stiffness online simultaneously. The recognition error is less than 10%, the recognition accuracy is high, and the algorithm exhibits a certain degree of robustness.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en18010079
- https://www.mdpi.com/1996-1073/18/1/79/pdf?version=1735605562
- OA Status
- gold
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405974631
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405974631Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en18010079Digital Object Identifier
- Title
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Online Identification Method for Mechanical Parameters of Dual-Inertia Servo SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-28Full publication date if available
- Authors
-
Bo Wang, Runze Ji, Chengpeng Zhou, Kai Liu, Wei Hua, Hairong YeList of authors in order
- Landing page
-
https://doi.org/10.3390/en18010079Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/18/1/79/pdf?version=1735605562Direct 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/1996-1073/18/1/79/pdf?version=1735605562Direct OA link when available
- Concepts
-
Dual (grammatical number), Identification (biology), Inertia, Control theory (sociology), Servomechanism, Computer science, Control engineering, Engineering, Artificial intelligence, Physics, Biology, Classical mechanics, Botany, Art, Control (management), LiteratureTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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14Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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