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...
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| Format: | Article |
| Language: | English |
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Sciendo
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32600/1/10341-Volume21_Issue_3-10_paper.pdf |
| _version_ | 1825814068863172608 |
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| author | Ahmad, Mohd Ashraf |
| author_facet | Ahmad, Mohd Ashraf |
| author_sort | Ahmad, Mohd Ashraf |
| collection | UMP |
| 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 continuoustime 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 | 2024-03-06T12:53:22Z |
| format | Article |
| id | UMPir32600 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:53:22Z |
| publishDate | 2021 |
| publisher | Sciendo |
| record_format | dspace |
| spelling | UMPir326002021-11-18T07:11:06Z http://umpir.ump.edu.my/id/eprint/32600/ Identification of the thermoelectric cooler using hybrid multi-verse optimizer and sine cosine algorithm based continuous-time Hammerstein model Ahmad, Mohd Ashraf 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 continuoustime 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 pdf en http://umpir.ump.edu.my/id/eprint/32600/1/10341-Volume21_Issue_3-10_paper.pdf Ahmad, Mohd Ashraf (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 1314-4081. (Published) https://cit.iict.bas.bg/CIT-2021/v-21-3/10341-Volume21_Issue_3-10_paper.pdf |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmad, Mohd Ashraf 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://umpir.ump.edu.my/id/eprint/32600/1/10341-Volume21_Issue_3-10_paper.pdf |
| work_keys_str_mv | AT ahmadmohdashraf identificationofthethermoelectriccoolerusinghybridmultiverseoptimizerandsinecosinealgorithmbasedcontinuoustimehammersteinmodel |