Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model
This paper presents the identification of liquid slosh plant using the Hammerstein model based on Grey Wolf Optimizer (GWO) method. A remote car that carrying a container of liquid is considered as the liquid slosh experimental rig. In contrast to other research works, this paper consider a piece-wi...
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| Format: | Article |
| Language: | English English |
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IAES
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27929/1/11.%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf http://umpir.ump.edu.my/id/eprint/27929/2/11.1%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf |
| _version_ | 1825813259989549056 |
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| author | Mohd Ashraf, Ahmad Zulkifli, Musa Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari |
| author_facet | Mohd Ashraf, Ahmad Zulkifli, Musa Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari |
| author_sort | Mohd Ashraf, Ahmad |
| collection | UMP |
| description | This paper presents the identification of liquid slosh plant using the Hammerstein model based on Grey Wolf Optimizer (GWO) method. A remote car that carrying a container of liquid is considered as the liquid slosh experimental rig. In contrast to other research works, this paper consider a piece-wise affine function in the nonlinear function of the Hammerstein model, which is more generalized function. Moreover, a continuous-time transfer function is utilized in the Hammerstein model, which is more suitable to represent a real system. The GWO method is used to tune both coefficients in the nonlinear function and transfer function of the Hammerstein model such that the error between the identified output and the real experimental output is minimized. The effectiveness of the proposed framework is assessed in terms of the convergence curve response, output response, and the stability of the identified model through the bode plot and pole zero map. The results show that the GWO based method is able to produce a Hammerstein model that yields identified output response close to the real experimental slosh output |
| first_indexed | 2024-03-06T12:41:21Z |
| format | Article |
| id | UMPir27929 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:41:21Z |
| publishDate | 2020 |
| publisher | IAES |
| record_format | dspace |
| spelling | UMPir279292020-10-08T02:27:44Z http://umpir.ump.edu.my/id/eprint/27929/ Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model Mohd Ashraf, Ahmad Zulkifli, Musa Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari TK Electrical engineering. Electronics Nuclear engineering This paper presents the identification of liquid slosh plant using the Hammerstein model based on Grey Wolf Optimizer (GWO) method. A remote car that carrying a container of liquid is considered as the liquid slosh experimental rig. In contrast to other research works, this paper consider a piece-wise affine function in the nonlinear function of the Hammerstein model, which is more generalized function. Moreover, a continuous-time transfer function is utilized in the Hammerstein model, which is more suitable to represent a real system. The GWO method is used to tune both coefficients in the nonlinear function and transfer function of the Hammerstein model such that the error between the identified output and the real experimental output is minimized. The effectiveness of the proposed framework is assessed in terms of the convergence curve response, output response, and the stability of the identified model through the bode plot and pole zero map. The results show that the GWO based method is able to produce a Hammerstein model that yields identified output response close to the real experimental slosh output IAES 2020-04 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27929/1/11.%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf pdf en http://umpir.ump.edu.my/id/eprint/27929/2/11.1%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf Mohd Ashraf, Ahmad and Zulkifli, Musa and Mohd Helmi, Suid and Mohd Zaidi, Mohd Tumari (2020) Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model. Bulletin of Electrical Engineering and Informatics, 9 (2). pp. 542-549. ISSN 2089-3191 (Print); 2302-9285 (Online). (Published) http://dx.doi.org/10.11591/eei.v9i2.2074 http://dx.doi.org/10.11591/eei.v9i2.2074 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Ashraf, Ahmad Zulkifli, Musa Mohd Helmi, Suid Mohd Zaidi, Mohd Tumari Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title | Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title_full | Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title_fullStr | Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title_full_unstemmed | Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title_short | Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model |
| title_sort | grey wolf optimizer for identification of liquid slosh behavior using continuous time hammerstein model |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/27929/1/11.%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf http://umpir.ump.edu.my/id/eprint/27929/2/11.1%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf |
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