Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model
This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and for making the balance bet...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2021
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| Online Access: | http://eprints.utm.my/97544/1/MohamedSultan2021_IdentificationoftheThermoelectricCoolerUsingHybridMultiVerse.pdf |
| _version_ | 1796866444186615808 |
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| author | Jui, Julakha Jahan Ahmad, Mohd. Ashraf Mohamed Ali, Mohamed Sultan Zawawi, Mohd. Anwar Mat Jusof, Mohd. Falfazli |
| author_facet | Jui, Julakha Jahan Ahmad, Mohd. Ashraf Mohamed Ali, Mohamed Sultan Zawawi, Mohd. Anwar Mat Jusof, Mohd. Falfazli |
| author_sort | Jui, Julakha Jahan |
| collection | ePrints |
| description | This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and for making the balance between exploration and exploitation. In the Hammerstein model identification a continuous-time linear system is used and the hMVOSCA based method is used to tune the coefficients of both the Hammerstein model subsystems (linear and nonlinear) such that the error between the estimated output and the actual output is reduced. The efficiency of the proposed method is evaluated based on the convergence curve, parameter estimation error, bode plot, function plot, and Wilcoxon's rank test. The experimental findings show that the hMVOSCA can produce a Hammerstein system that generates an estimated output like the actual TEC output. Moreover, the identified outputs also show that the hMVOSCA outperforms other popular metaheuristic algorithms. |
| first_indexed | 2024-03-05T21:12:14Z |
| format | Article |
| id | utm.eprints-97544 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:12:14Z |
| publishDate | 2021 |
| publisher | Sciendo |
| record_format | dspace |
| spelling | utm.eprints-975442022-10-17T06:20:32Z http://eprints.utm.my/97544/ Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model Jui, Julakha Jahan Ahmad, Mohd. Ashraf Mohamed Ali, Mohamed Sultan Zawawi, Mohd. Anwar Mat Jusof, Mohd. Falfazli TK Electrical engineering. Electronics Nuclear engineering This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and for making the balance between exploration and exploitation. In the Hammerstein model identification a continuous-time linear system is used and the hMVOSCA based method is used to tune the coefficients of both the Hammerstein model subsystems (linear and nonlinear) such that the error between the estimated output and the actual output is reduced. The efficiency of the proposed method is evaluated based on the convergence curve, parameter estimation error, bode plot, function plot, and Wilcoxon's rank test. The experimental findings show that the hMVOSCA can produce a Hammerstein system that generates an estimated output like the actual TEC output. Moreover, the identified outputs also show that the hMVOSCA outperforms other popular metaheuristic algorithms. Sciendo 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/97544/1/MohamedSultan2021_IdentificationoftheThermoelectricCoolerUsingHybridMultiVerse.pdf Jui, Julakha Jahan and Ahmad, Mohd. Ashraf and Mohamed Ali, Mohamed Sultan and Zawawi, Mohd. Anwar and Mat Jusof, Mohd. Falfazli (2021) Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model. Cybernetics and Information Technologies, 21 (3). pp. 160-174. ISSN 1311-9702 http://dx.doi.org/10.2478/cait-2021-0036 DOI : 10.2478/cait-2021-0036 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Jui, Julakha Jahan Ahmad, Mohd. Ashraf Mohamed Ali, Mohamed Sultan Zawawi, Mohd. Anwar Mat Jusof, Mohd. Falfazli Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title | Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title_full | Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title_fullStr | Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title_full_unstemmed | Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title_short | Identification of the Thermoelectric Cooler using hybrid multi-verse optimizer and Sine Cosine Algorithm based continuous-Time Hammerstein Model |
| title_sort | identification of the thermoelectric cooler using hybrid multi verse optimizer and sine cosine algorithm based continuous time hammerstein model |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/97544/1/MohamedSultan2021_IdentificationoftheThermoelectricCoolerUsingHybridMultiVerse.pdf |
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