Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach
This paper focuses on an innovative passivity analysis of wind turbine systems employing a decentralized event-triggered control approach. To establish new stability conditions, a novel Lyapunov-Krasovskii functional (LKF) is introduced, incorporating information from both the upper and lower bounds...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11088094/ |
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| author | R. Vadivel T. K. Santhosh R. Suresh Nallappan Gunasekaran Mohammed H. Alsharif Mun-Kyeom Kim |
| author_facet | R. Vadivel T. K. Santhosh R. Suresh Nallappan Gunasekaran Mohammed H. Alsharif Mun-Kyeom Kim |
| author_sort | R. Vadivel |
| collection | DOAJ |
| description | This paper focuses on an innovative passivity analysis of wind turbine systems employing a decentralized event-triggered control approach. To establish new stability conditions, a novel Lyapunov-Krasovskii functional (LKF) is introduced, incorporating information from both the upper and lower bounds of the interval time-varying delay. We provide a new approach to identify the time instants of transmission from the sensors to the controller using just locally available information in event-triggered communication schemes. By using the relaxed integral inequality and the delay decomposition methodology, novel delay-dependent criteria guarantee that the considered system is passive. The passification problem is then handled by designing a decentralized event-triggered controller based on the acquired passivity conditions. The established stability conditions are expressed as linear matrix inequalities (LMIs), which may be numerically verified using the MATLAB LMI toolkit. Finally, a numerical example clearly demonstrates the superiority of our theoretical results using the simulation model. |
| format | Article |
| id | doaj-art-22c5ee9ccd784a4bb85c78a9876f7bde |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-22c5ee9ccd784a4bb85c78a9876f7bde2025-08-20T02:47:29ZengIEEEIEEE Access2169-35362025-01-011313284913286910.1109/ACCESS.2025.359148511088094Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered ApproachR. Vadivel0https://orcid.org/0000-0002-1385-5345T. K. Santhosh1https://orcid.org/0000-0003-1096-6741R. Suresh2https://orcid.org/0000-0003-1041-3581Nallappan Gunasekaran3https://orcid.org/0000-0003-0375-7917Mohammed H. Alsharif4https://orcid.org/0000-0001-8579-5444Mun-Kyeom Kim5https://orcid.org/0000-0002-0901-7816Department of Mathematics, Faculty of Science and Technology, Phuket Rajabhat University, Phuket, ThailandSchool of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, IndiaDepartment of Mathematics, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu, IndiaEastern Michigan Joint College of Engineering, Beibu Gulf University, Qinzhou, ChinaDepartment of AI Convergence Electronic Engineering, Sejong University, Seoul, South KoreaSchool of Energy System Engineering, Chung-Ang University, Dongjak-gu, Seoul, Republic of KoreaThis paper focuses on an innovative passivity analysis of wind turbine systems employing a decentralized event-triggered control approach. To establish new stability conditions, a novel Lyapunov-Krasovskii functional (LKF) is introduced, incorporating information from both the upper and lower bounds of the interval time-varying delay. We provide a new approach to identify the time instants of transmission from the sensors to the controller using just locally available information in event-triggered communication schemes. By using the relaxed integral inequality and the delay decomposition methodology, novel delay-dependent criteria guarantee that the considered system is passive. The passification problem is then handled by designing a decentralized event-triggered controller based on the acquired passivity conditions. The established stability conditions are expressed as linear matrix inequalities (LMIs), which may be numerically verified using the MATLAB LMI toolkit. Finally, a numerical example clearly demonstrates the superiority of our theoretical results using the simulation model.https://ieeexplore.ieee.org/document/11088094/Lyapunov-Krasovskii functionalpassivitydelay decomposition approachevent-triggered control |
| spellingShingle | R. Vadivel T. K. Santhosh R. Suresh Nallappan Gunasekaran Mohammed H. Alsharif Mun-Kyeom Kim Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach IEEE Access Lyapunov-Krasovskii functional passivity delay decomposition approach event-triggered control |
| title | Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach |
| title_full | Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach |
| title_fullStr | Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach |
| title_full_unstemmed | Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach |
| title_short | Novel Passivity Analysis for Wind Turbine Systems via Decentralized Event-Triggered Approach |
| title_sort | novel passivity analysis for wind turbine systems via decentralized event triggered approach |
| topic | Lyapunov-Krasovskii functional passivity delay decomposition approach event-triggered control |
| url | https://ieeexplore.ieee.org/document/11088094/ |
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