Remaining Useful Life (RUL) Control of Controlled Systems under Degradation

Remaining Useful Life (RUL) Control of Controlled Systems under Degradation | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL International Journal of Robust and Nonlinear Control This is a preprint and has not been peer reviewed. Data may be preliminary. 20 July 2024 V1 Latest version Share on Remaining Useful Life (RUL) Control of Controlled Systems under Degradation Authors : Mônica S. Félix , John J. Martinez 0000-0003-2490-9019 [email protected] , and Christophe Berenguer Authors Info & Affiliations https://doi.org/10.22541/au.172146328.87517875/v1 Published International Journal of Robust and Nonlinear Control Version of record Peer review timeline 359 views 260 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Remaining Useful Life (RUL) has become widely recognized as a key metric for evaluating system reliability within the field of Prognostic and Health Management (PHM). It plays a crucial role in predicting a system’s health status and its expected lifespan. While significant efforts have been directed towards accurately estimating RUL, the process of decision-making regarding health management and potential adjustments to equipment lifespan still poses questions. This study introduces a state-space methodology designed to effectively manage RUL and, thus, the end-of-life of a degrading system, particularly focusing on controlled operation systems. Through an investigation of the relationship between the operational dynamics of the system and its aging process, the study specifically concentrates on regulating the degradation rate experienced during operation. A robust design method of an observer and a controller is presented to effectively govern the degradation trajectory, allowing for the achievement of an acceptable level of deterioration within a desired average lifetime. To demonstrate the performance and practical application of the proposed approach, it is applied to a variable-speed wind turbine with a flexible shaft subjected to torsion effects. The results highlight the benefits of using RUL control as a Health-Aware Control (HAC) strategy, aiming to find an optimal balance between reliability and production objectives. This study makes a valuable contribution to the field of reliability engineering by providing insight into managing the end-of-life of controlled processes suffering from aging. It is showed that the RUL control problem can be conveniently expressed as the problem of controlling a polytopic uncertain system. For this reason, a discrete-time robust LQR controller design is presented for solving the polytopic control design problem. Supplementary Material File (remaining_useful_life__rul__control_of_controlled_systems_under_degradation__dev_ (1).pdf) Download 2.63 MB Information & Authors Information Version history V1 Version 1 20 July 2024 Peer review timeline Published International Journal of Robust and Nonlinear Control Version of Record 29 Jul 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection International Journal of Robust and Nonlinear Control Keywords deterioration-aware control health-aware control polytopic modeling and control predictive and health management wind turbine control Authors Affiliations Mônica S. Félix Universite Grenoble Alpes Ense3 View all articles by this author John J. Martinez 0000-0003-2490-9019 [email protected] Universite Grenoble Alpes Ense3 View all articles by this author Christophe Berenguer Universite Grenoble Alpes Ense3 View all articles by this author Metrics & Citations Metrics Article Usage 359 views 260 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Mônica S. Félix, John J. Martinez, Christophe Berenguer. Remaining Useful Life (RUL) Control of Controlled Systems under Degradation. Authorea . 20 July 2024. DOI: https://doi.org/10.22541/au.172146328.87517875/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); Cited by M. Boulanger, J.J. Martinez, O. Sename, T. Dairay, J. Vayssettes, Linear Parameter-Varying Observer for Online Tire Grip Potential Estimation, IFAC-PapersOnLine, 59 , 15, (67-72), (2025). https://doi.org/10.1016/j.ifacol.2025.10.059 Crossref Loading... View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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