Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation
In this paper, a model predictive control approach based on a generic particle filter is proposed to synchronize two Josephson junction models with different parameters. For this purpose, an appropriate objective function is defined to assess the particles within the state space. This objective func...
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Format: | Article |
Language: | English |
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University of Sistan and Baluchestan
2021-08-01
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Series: | International Journal of Industrial Electronics, Control and Optimization |
Subjects: | |
Online Access: | https://ieco.usb.ac.ir/article_6269_ab7e93ed075b1189e5e9870db0309f06.pdf |
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author | Aylar Khooshehmehri Saeed Nasrollahi Morteza Aliyari |
author_facet | Aylar Khooshehmehri Saeed Nasrollahi Morteza Aliyari |
author_sort | Aylar Khooshehmehri |
collection | DOAJ |
description | In this paper, a model predictive control approach based on a generic particle filter is proposed to synchronize two Josephson junction models with different parameters. 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 a generic particle filter. Here, Josephson junction is described with Resistive Capacitive Inductive Shunted Josephson model, and the synchronization is obtained using the slave–master technique. Moreover, to verify the implementation capability of the proposed algorithm, a processor in loop experiment is performed. The results show that the open-loop system, without the controller, has a chaotic behavior. Numerical simulations are conducted to assess the performance of the proposed algorithm. The results show that the proposed approach can be implemented in a real-time application. Also, the performance of the suggested controller is compared with the proportional integral derivative controller and sliding mode controller. |
first_indexed | 2024-04-13T08:42:31Z |
format | Article |
id | doaj.art-b33788a878454f12890b858ee94ac09f |
institution | Directory Open Access Journal |
issn | 2645-3517 2645-3568 |
language | English |
last_indexed | 2024-04-13T08:42:31Z |
publishDate | 2021-08-01 |
publisher | University of Sistan and Baluchestan |
record_format | Article |
series | International Journal of Industrial Electronics, Control and Optimization |
spelling | doaj.art-b33788a878454f12890b858ee94ac09f2022-12-22T02:53:51ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682021-08-014335536610.22111/ieco.2021.36978.13296269Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop ImplementationAylar Khooshehmehri0Saeed Nasrollahi1Morteza Aliyari22Faculty of Electrical and Computer, Malek-Ashtar University of Technology, Iran.Faculty of Electrical and Computer, Malek-Ashtar University of Technology, Iran.Research Assistant, Department of Electrical and Computer, Malek-Ashtar University of Technology, Iran.In this paper, a model predictive control approach based on a generic particle filter is proposed to synchronize two Josephson junction models with different parameters. 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 a generic particle filter. Here, Josephson junction is described with Resistive Capacitive Inductive Shunted Josephson model, and the synchronization is obtained using the slave–master technique. Moreover, to verify the implementation capability of the proposed algorithm, a processor in loop experiment is performed. The results show that the open-loop system, without the controller, has a chaotic behavior. Numerical simulations are conducted to assess the performance of the proposed algorithm. The results show that the proposed approach can be implemented in a real-time application. Also, the performance of the suggested controller is compared with the proportional integral derivative controller and sliding mode controller.https://ieco.usb.ac.ir/article_6269_ab7e93ed075b1189e5e9870db0309f06.pdfmodel predictive controlgeneric particle filterjosephson junctionsynchronizationchaos dynamic |
spellingShingle | Aylar Khooshehmehri Saeed Nasrollahi Morteza Aliyari Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation International Journal of Industrial Electronics, Control and Optimization model predictive control generic particle filter josephson junction synchronization chaos dynamic |
title | Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation |
title_full | Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation |
title_fullStr | Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation |
title_full_unstemmed | Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation |
title_short | Chaos Synchronization in Josephson Junction Using a Nonlinear Model Predictive Controller Based on Particle Filter: Processor in the Loop Implementation |
title_sort | chaos synchronization in josephson junction using a nonlinear model predictive controller based on particle filter processor in the loop implementation |
topic | model predictive control generic particle filter josephson junction synchronization chaos dynamic |
url | https://ieco.usb.ac.ir/article_6269_ab7e93ed075b1189e5e9870db0309f06.pdf |
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