Parameter tuning of robust adaptive fuzzy controller for 3D elliptical vibration-assisted cutting Article Swipe
Yongsheng Du
,
Mingming Lu
,
Hao Wang
,
Jiakang Zhou
,
Jieqiong Lin
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/ms-12-433-2021
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/ms-12-433-2021
Elliptical vibration cutting (EVC), as a precision machining technology, is used in many applications. In precision machining, control accuracy plays an essential role in improving the machinability of difficult-to-machine materials. To improve the control accuracy, dynamic and static characteristics of the system need to be tuned to obtain the optimal parameters. In this paper, we use a glowworm algorithm with an improved adaptive step size to tune the parameters of a robust adaptive fuzzy controller. We then obtain the optimal controller parameters through simulation. The optimal solution of the controller parameters is then applied to a 3D EVC system model for simulation and closed-loop testing experiments. The results indicate that a good agreement between the ideal curve and the tracking signal curve verifies the optimality of the controller parameters. Finally, under certain cutting conditions, the workpieces of three different materials are cut with two different cutting methods. The study revealed that the surface roughness value is reduced by 20 %–32 %, which further verifies the effectiveness of the optimal controller's parameters.
Related Topics
Concepts
Machining
Controller (irrigation)
Control theory (sociology)
Fuzzy logic
Vibration
Surface roughness
Machine tool
Machinability
Adaptive control
Numerical control
Computer science
Control engineering
Engineering
Mechanical engineering
Control (management)
Materials science
Acoustics
Artificial intelligence
Agronomy
Physics
Biology
Composite material
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/ms-12-433-2021
- https://ms.copernicus.org/articles/12/433/2021/ms-12-433-2021.pdf
- OA Status
- gold
- Cited By
- 8
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3160008911
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3160008911Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/ms-12-433-2021Digital Object Identifier
- Title
-
Parameter tuning of robust adaptive fuzzy controller for 3D elliptical vibration-assisted cuttingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-23Full publication date if available
- Authors
-
Yongsheng Du, Mingming Lu, Hao Wang, Jiakang Zhou, Jieqiong LinList of authors in order
- Landing page
-
https://doi.org/10.5194/ms-12-433-2021Publisher landing page
- PDF URL
-
https://ms.copernicus.org/articles/12/433/2021/ms-12-433-2021.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ms.copernicus.org/articles/12/433/2021/ms-12-433-2021.pdfDirect OA link when available
- Concepts
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Machining, Controller (irrigation), Control theory (sociology), Fuzzy logic, Vibration, Surface roughness, Machine tool, Machinability, Adaptive control, Numerical control, Computer science, Control engineering, Engineering, Mechanical engineering, Control (management), Materials science, Acoustics, Artificial intelligence, Agronomy, Physics, Biology, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 2, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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