000095459 001__ 95459 000095459 005__ 20240104111807.0 000095459 0247_ $$2doi$$a10.1109/TIE.2018.2838077 000095459 0248_ $$2sideral$$a106361 000095459 037__ $$aART-2019-106361 000095459 041__ $$aeng 000095459 100__ $$0(orcid)0000-0002-8977-5296$$aRamírez Laboreo, E.$$uUniversidad de Zaragoza 000095459 245__ $$aReal-time electromagnetic estimation for reluctance actuators 000095459 260__ $$c2019 000095459 5060_ $$aAccess copy available to the general public$$fUnrestricted 000095459 5203_ $$aSeveral modeling, estimation, and control strategies have been recently presented for simple reluctance devices like solenoid valves and electromagnetic switches. In this paper, we present a new algorithm to online estimate the flux linkage and the electrical time-variant parameters of these devices, namely the resistance and the inductance, only by making use of discrete-time measurements of voltage and current. The algorithm, which is robust against measurement noise, is able to deal with temperature variations of the device and provides accurate estimations during the motion of the armature. Additionally, an integral estimator that uses the start of each operation of the actuator as reset condition has been also implemented for comparative purposes. The performances of both estimation methods are studied and compared by means of simulations and experimental tests, and the benefits of our proposal are emphasized. Possible uses of the estimates and further modeling developments are also described and discussed. 000095459 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T45$$9info:eu-repo/grantAgreement/ES/MEC/FPU14-04171$$9info:eu-repo/grantAgreement/ES/MINECO/RTC-2014-1847-6 000095459 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000095459 590__ $$a7.515$$b2019 000095459 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b4 / 63 = 0.063$$c2019$$dQ1$$eT1 000095459 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b1 / 64 = 0.016$$c2019$$dQ1$$eT1 000095459 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b16 / 265 = 0.06$$c2019$$dQ1$$eT1 000095459 592__ $$a2.911$$b2019 000095459 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ1 000095459 593__ $$aControl and Systems Engineering$$c2019$$dQ1 000095459 593__ $$aComputer Science Applications$$c2019$$dQ1 000095459 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000095459 700__ $$0(orcid)0000-0001-6244-3366$$aMoya Lasheras, E.$$uUniversidad de Zaragoza 000095459 700__ $$0(orcid)0000-0002-3032-954X$$aSagues, C.$$uUniversidad de Zaragoza 000095459 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000095459 773__ $$g66, 3 (2019), 1952-1961$$pIEEE trans. ind. electron.$$tIEEE Transactions on Industrial Electronics$$x0278-0046 000095459 8564_ $$s1630837$$uhttps://zaguan.unizar.es/record/95459/files/texto_completo.pdf$$yPostprint 000095459 8564_ $$s715675$$uhttps://zaguan.unizar.es/record/95459/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000095459 909CO $$ooai:zaguan.unizar.es:95459$$particulos$$pdriver 000095459 951__ $$a2024-01-04-11:01:02 000095459 980__ $$aARTICLE