Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm
The Josephson junction is a device consisting of two superconducting electrodes connected by a weak junction such as a thin insulation coating. The Josephson junction has chaotic behavior parameters not desirable in high-frequency applications. In this paper, a model predictive control approach base...
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| Format: | Article |
| Language: | English |
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University of Isfahan
2022-09-01
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| Series: | هوش محاسباتی در مهندسی برق |
| Subjects: | |
| Online Access: | https://isee.ui.ac.ir/article_25792_ab5334c9ddc27ed81dd6f3983eaf6fba.pdf |
| _version_ | 1797807000695865344 |
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| author | Aylar Khooshehmehri Saeed Nasrollahi |
| author_facet | Aylar Khooshehmehri Saeed Nasrollahi |
| author_sort | Aylar Khooshehmehri |
| collection | DOAJ |
| description | The Josephson junction is a device consisting of two superconducting electrodes connected by a weak junction such as a thin insulation coating. The Josephson junction has chaotic behavior parameters not desirable in high-frequency applications. In this paper, a model predictive control approach based on an ant colony optimization algorithm is proposed to synchronize two Josephson junction models with different parameters. Here, the Josephson junction is described with a nonlinear model, and the synchronization is obtained using the slave–master technique. For this purpose, an appropriate objective function is defined to assess the particles within the state space. This objective function minimizes simultaneously the tracking error, control effort, and control smoothness. The dynamic optimization problem is solved using an ant colony optimization algorithm. Numerical simulations are conducted to assess the efficiency of the proposed algorithm. Also, a Monte Carlo evaluation is achieved to compute the statistic performance of the suggested controller. In addition, sensitivity analysis to changes in the number of ants and the number of iteration of the inner loop of the algorithm was performed. The results show that the controller is significantly sensitive to reducing the number of iteration of the inner loop. |
| first_indexed | 2024-03-13T06:15:56Z |
| format | Article |
| id | doaj.art-cbb0706822b04faaba2e4938d396a6e7 |
| institution | Directory Open Access Journal |
| issn | 2821-0689 |
| language | English |
| last_indexed | 2024-03-13T06:15:56Z |
| publishDate | 2022-09-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | هوش محاسباتی در مهندسی برق |
| spelling | doaj.art-cbb0706822b04faaba2e4938d396a6e72023-06-11T04:21:42ZengUniversity of Isfahanهوش محاسباتی در مهندسی برق2821-06892022-09-01133253610.22108/isee.2021.126270.143325792Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization AlgorithmAylar Khooshehmehri0Saeed Nasrollahi1Researcher of Electrical and Computer engineering, Malek Ashtar University, Tehran, IranFaculty of Electrical and Computer Engineering, Malek- Ashtar university of Technology, Tehran, IranThe Josephson junction is a device consisting of two superconducting electrodes connected by a weak junction such as a thin insulation coating. The Josephson junction has chaotic behavior parameters not desirable in high-frequency applications. In this paper, a model predictive control approach based on an ant colony optimization algorithm is proposed to synchronize two Josephson junction models with different parameters. Here, the Josephson junction is described with a nonlinear model, and the synchronization is obtained using the slave–master technique. For this purpose, an appropriate objective function is defined to assess the particles within the state space. This objective function minimizes simultaneously the tracking error, control effort, and control smoothness. The dynamic optimization problem is solved using an ant colony optimization algorithm. Numerical simulations are conducted to assess the efficiency of the proposed algorithm. Also, a Monte Carlo evaluation is achieved to compute the statistic performance of the suggested controller. In addition, sensitivity analysis to changes in the number of ants and the number of iteration of the inner loop of the algorithm was performed. The results show that the controller is significantly sensitive to reducing the number of iteration of the inner loop.https://isee.ui.ac.ir/article_25792_ab5334c9ddc27ed81dd6f3983eaf6fba.pdfant colony optimizationjosephson junctionchaos dynamicsynchronizationnonlinear model predictive controlmonte carlo simulation |
| spellingShingle | Aylar Khooshehmehri Saeed Nasrollahi Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm هوش محاسباتی در مهندسی برق ant colony optimization josephson junction chaos dynamic synchronization nonlinear model predictive control monte carlo simulation |
| title | Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm |
| title_full | Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm |
| title_fullStr | Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm |
| title_full_unstemmed | Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm |
| title_short | Chaos Synchronization in Josephson Junction Using Model Predictive Controller Based on Ant Colony Optimization Algorithm |
| title_sort | chaos synchronization in josephson junction using model predictive controller based on ant colony optimization algorithm |
| topic | ant colony optimization josephson junction chaos dynamic synchronization nonlinear model predictive control monte carlo simulation |
| url | https://isee.ui.ac.ir/article_25792_ab5334c9ddc27ed81dd6f3983eaf6fba.pdf |
| work_keys_str_mv | AT aylarkhooshehmehri chaossynchronizationinjosephsonjunctionusingmodelpredictivecontrollerbasedonantcolonyoptimizationalgorithm AT saeednasrollahi chaossynchronizationinjosephsonjunctionusingmodelpredictivecontrollerbasedonantcolonyoptimizationalgorithm |