000108508 001__ 108508
000108508 005__ 20240319080946.0
000108508 0247_ $$2doi$$a10.1109/TCST.2021.3120909
000108508 0248_ $$2sideral$$a125123
000108508 037__ $$aART-2022-125123
000108508 041__ $$aeng
000108508 100__ $$0(orcid)0000-0001-6244-3366$$aMoya-Lasheras, Eduardo$$uUniversidad de Zaragoza
000108508 245__ $$aRauch-Tung-Striebel Smoother for Position Estimation of Short-Stroke Reluctance Actuators
000108508 260__ $$c2022
000108508 5060_ $$aAccess copy available to the general public$$fUnrestricted
000108508 5203_ $$aThis article presents a novel state estimator for short-stroke reluctance actuators, intended for soft-landing control applications in which the position cannot be measured in real time. One of the most important contributions regards the system modeling for the estimator. The discrete state of the hybrid system is treated as an input. Moreover, the model is simplified to facilitate the identification of parameters and the implementation of the estimator. Thus, auxiliary variables are added to the state vector in order to indirectly account for modeling errors. Another important contribution is the state estimation approach. It is based on the Rauch–Tung–Striebel fixed-interval smoother, which allows refining past data from later observations. Numerous simulations are performed to analyze and compare the proposal and several alternatives. In addition, experimental testing is presented to evaluate and validate the estimator. As the simulated and experimental analyses demonstrate, the combined effect of the novel additions results in significantly smaller estimation errors of position and velocity.
000108508 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/RTC-2017-5965-6$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/PGC2018-098719-B-I00$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T45-20R
000108508 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000108508 590__ $$a4.8$$b2022
000108508 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b74 / 274 = 0.27$$c2022$$dQ2$$eT1
000108508 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b19 / 65 = 0.292$$c2022$$dQ2$$eT1
000108508 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ1
000108508 593__ $$aControl and Systems Engineering$$c2022$$dQ1
000108508 594__ $$a11.3$$b2022
000108508 592__ $$a1.985$$b2022
000108508 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000108508 700__ $$aSchellekens, Jan M.
000108508 700__ $$0(orcid)0000-0002-3032-954X$$aSagues, Carlos$$uUniversidad de Zaragoza
000108508 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000108508 773__ $$g30, 4 (2022), 1641 - 1653$$pIEEE trans. control syst. technol.$$tIEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY$$x1063-6536
000108508 8564_ $$s7686574$$uhttps://zaguan.unizar.es/record/108508/files/texto_completo.pdf$$yPostprint
000108508 8564_ $$s3553817$$uhttps://zaguan.unizar.es/record/108508/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000108508 909CO $$ooai:zaguan.unizar.es:108508$$particulos$$pdriver
000108508 951__ $$a2024-03-18-12:37:43
000108508 980__ $$aARTICLE