000095460 001__ 95460
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000095460 0247_ $$2doi$$a10.1016/j.mechatronics.2018.10.009
000095460 0248_ $$2sideral$$a108753
000095460 037__ $$aART-2018-108753
000095460 041__ $$aeng
000095460 100__ $$0(orcid)0000-0002-8977-5296$$aRamirez-Laboreo, E.$$uUniversidad de Zaragoza
000095460 245__ $$aReluctance actuator characterization via FEM simulations and experimental tests
000095460 260__ $$c2018
000095460 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095460 5203_ $$aModeling the reluctance of an electromagnetic actuator is a critical step to analyze its dynamics and design model-based controllers. On the one hand, analytical expressions based on either theoretical or empirical models often lack accuracy due to model inconsistencies. On the other, numerical methods are much more precise but require exact information about the system geometry, materials and winding configuration. In this paper we present a new method that brings together the good properties of the finite element method and of system identification techniques to obtain an accurate description of the reluctance and its derivative. Since the method is designed to identify the unknown parameters of the system, it is particularly well suited for modeling existing commercial devices. An application on a safety valve used in gas lines is included to illustrate the method and a discussion on the results shows the advantages of our proposal.
000095460 536__ $$9info:eu-repo/grantAgreement/ES/MEC/FPU14-04171$$9info:eu-repo/grantAgreement/ES/MINECO/RTC-2014-1847-6
000095460 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000095460 590__ $$a2.978$$b2018
000095460 591__ $$aENGINEERING, MECHANICAL$$b30 / 129 = 0.233$$c2018$$dQ1$$eT1
000095460 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b96 / 265 = 0.362$$c2018$$dQ2$$eT2
000095460 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b24 / 62 = 0.387$$c2018$$dQ2$$eT2
000095460 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b43 / 132 = 0.326$$c2018$$dQ2$$eT1
000095460 592__ $$a0.848$$b2018
000095460 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ1
000095460 593__ $$aMechanical Engineering$$c2018$$dQ1
000095460 593__ $$aComputer Science Applications$$c2018$$dQ1
000095460 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/submittedVersion
000095460 700__ $$0(orcid)0000-0002-3032-954X$$aSagues, C.$$uUniversidad de Zaragoza
000095460 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000095460 773__ $$g56 (2018), 58-66$$pMechatronics$$tMECHATRONICS$$x0957-4158
000095460 8564_ $$s946566$$uhttps://zaguan.unizar.es/record/95460/files/texto_completo.pdf$$yPreprint
000095460 8564_ $$s599642$$uhttps://zaguan.unizar.es/record/95460/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint
000095460 909CO $$ooai:zaguan.unizar.es:95460$$particulos$$pdriver
000095460 951__ $$a2024-01-04-11:01:53
000095460 980__ $$aARTICLE