A Portrayal of Sliding Mode Control Through Adaptive Neuro Fuzzy Inference System With Optimization Perspective Article Swipe
Jim George
,
Geetha Mani
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3348836
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2023.3348836
Sliding mode control is a promising approach for designing controllers for systems with empirical characteristics. This is a favored nonlinear control strategy that effectively addresses the uncertainties present in derived mathematical models. To further enhance the stability of such systems, an Adaptive Neuro Fuzzy Inference System is employed by adapting to dynamic changes and inconsistent correlations between excitation and response. In this study, Sliding Mode Control was deployed in the feedback loop, effectively serving as a state feedback controller based on a nonlinear control law. As a two-parameter control approach, Sliding Mode Control requires careful tuning to achieve optimal performance. The integration of the Adaptive Neuro-Fuzzy System aims to bestow the two parameters of Sliding Mode Control with the ability to rapidly reduce errors to zero, thereby enhancing overall control efficiency. The research focuses on utilizing an Adaptive Neuro Fuzzy Inference System to implement Sliding Mode Control for a DC servo system while emphasizing state feedback control. The Harmony Search Optimization method is employed to optimize controller parameters effectively. The results of the research demonstrate the achievement of a best-fit value, where the minimal standard error and Best fitness are considered. This highlights the successful integration of the proposed control strategy and validates its effectiveness in providing accurate and reliable control of the real-time DC servo system.
Related Topics
Concepts
Control theory (sociology)
Sliding mode control
Computer science
Controller (irrigation)
Adaptive neuro fuzzy inference system
Servomechanism
Adaptive control
Fuzzy control system
Control system
Control engineering
Nonlinear system
Fuzzy logic
Control (management)
Artificial intelligence
Engineering
Agronomy
Quantum mechanics
Physics
Electrical engineering
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2023.3348836
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10379157.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390489062
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390489062Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2023.3348836Digital Object Identifier
- Title
-
A Portrayal of Sliding Mode Control Through Adaptive Neuro Fuzzy Inference System With Optimization PerspectiveWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Jim George, Geetha ManiList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2023.3348836Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10379157.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
- OA URL
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10379157.pdfDirect OA link when available
- Concepts
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Control theory (sociology), Sliding mode control, Computer science, Controller (irrigation), Adaptive neuro fuzzy inference system, Servomechanism, Adaptive control, Fuzzy control system, Control system, Control engineering, Nonlinear system, Fuzzy logic, Control (management), Artificial intelligence, Engineering, Agronomy, Quantum mechanics, Physics, Electrical engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2923361161, https://openalex.org/W2996590754, https://openalex.org/W2998357293, https://openalex.org/W2734697403, https://openalex.org/W2921490129, https://openalex.org/W3206023223, https://openalex.org/W2245025274, https://openalex.org/W2982435901, https://openalex.org/W1518205348, https://openalex.org/W3005585321, https://openalex.org/W2911636452, https://openalex.org/W2783552622, https://openalex.org/W1991643050, https://openalex.org/W2611570691, https://openalex.org/W2997940671, https://openalex.org/W1487881006, https://openalex.org/W2767496449, https://openalex.org/W2248677922, https://openalex.org/W2921412552, https://openalex.org/W2786173851, https://openalex.org/W3088460350, https://openalex.org/W3126182512, https://openalex.org/W2898855966, https://openalex.org/W3155219088, https://openalex.org/W4360587579, https://openalex.org/W3202654083, https://openalex.org/W2910716906, https://openalex.org/W4324290354, https://openalex.org/W2289623799, https://openalex.org/W2735890646, https://openalex.org/W3201413522, https://openalex.org/W3213814296, https://openalex.org/W4389401556, https://openalex.org/W4226340730 |
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