An Intelligent Modeling and Controller design for Clarifier process: A Metaheuristic Algorithm approach. Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-371226/v1
This paper concentrates on the modeling and control of the sugar industry's nonlinear clarifier process. Since the sugar industry's clarification mechanism is complex and nonlinear, it is therefore important to obtain the exact model with identification methods. Using the normal modeling technique, the basic model of the complex process is obtained and further improved to make the model act like the actual system. The most accurate model from the algorithms is analysed using metaheuristic algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and State Transition Algorithm (STA). The proposed STA design to the clarifier model provides the maximum fitness. The clarifier model derived from State Transition Algorithm (STA) behaves more similar to the actual clarifier process by capturing the principle dynamic qualities of the process. Simulations have demonstrated that STA is an optimum algorithm for the clarifier process than the other algorithms. From the results, it is inferred that the controllers introduced in this study, can be utilized to accomplish a better performance than the standard controller design, and during the control of any nonlinear procedure and STA is extremely helpful in modeling a nonlinear process.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-371226/v1
- https://www.researchsquare.com/article/rs-371226/v1.pdf?c=1631895229000
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3153462583
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3153462583Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-371226/v1Digital Object Identifier
- Title
-
An Intelligent Modeling and Controller design for Clarifier process: A Metaheuristic Algorithm approach.Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-12Full publication date if available
- Authors
-
M. Rajalakshmi, C. S. Karthik, Veeranan Arunprasad, Gurusamy Saravanakumar, Sanjeevi PandiyanList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-371226/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-371226/v1.pdf?c=1631895229000Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-371226/v1.pdf?c=1631895229000Direct OA link when available
- Concepts
-
Clarifier, Metaheuristic, Computer science, Process (computing), Control engineering, Controller (irrigation), Algorithm, Mathematical optimization, Engineering, Mathematics, Programming language, Waste management, Agronomy, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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