000144944 001__ 144944
000144944 005__ 20240920135617.0
000144944 0247_ $$2doi$$a10.1016/j.conengprac.2024.106067
000144944 0248_ $$2sideral$$a139740
000144944 037__ $$aART-2024-139740
000144944 041__ $$aeng
000144944 100__ $$0(orcid)0000-0001-6244-3366$$aMoya-Lasheras, Eduardo$$uUniversidad de Zaragoza
000144944 245__ $$aIterative-only learning control for soft landing of short-stroke reluctance actuators
000144944 260__ $$c2024
000144944 5060_ $$aAccess copy available to the general public$$fUnrestricted
000144944 5203_ $$aShort-stroke reluctance actuators, such as electromechanical relays and solenoid valves, often experience strong impacts at the end of standard switching operations, leading to problems like contact bounces, mechanical wear or acoustic noise. This paper introduces a novel iterative learning controller for tracking the actuator position during switching operations and ultimately decreasing the impact velocities. The control strategy is designed based on a generalized dynamical description, allowing for its application to a broad range of actuators and models. A highlight of the proposal is the absence of a real-time feedback controller, which eliminates the need for real-time measurements. Another important feature is the adaptation of the learning control gain based on a soft-landing performance index. The control performance is analyzed and validated in conjunction with an offline position estimator through Monte Carlo simulations and experimental testing. The results show that the position tracking remains accurate even in the presence of non-repeating perturbations and estimation errors, leading to a substantial reduction in switching impacts.
000144944 536__ $$9info:eu-repo/grantAgreement/EUR/AEI/CPP2021-008938$$9info:eu-repo/grantAgreement/EUR/AEI/TED2021-130224B-I00$$9info:eu-repo/grantAgreement/ES/DGA/T45-23R$$9info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2021-124137OB-I00
000144944 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000144944 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000144944 700__ $$0(orcid)0000-0002-3032-954X$$aSagues, Carlos$$uUniversidad de Zaragoza
000144944 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000144944 773__ $$g152 (2024), 106067 [11 pp.]$$pControl eng. pract.$$tCONTROL ENGINEERING PRACTICE$$x0967-0661
000144944 8564_ $$s2478584$$uhttps://zaguan.unizar.es/record/144944/files/texto_completo.pdf$$yVersión publicada
000144944 8564_ $$s2678936$$uhttps://zaguan.unizar.es/record/144944/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000144944 909CO $$ooai:zaguan.unizar.es:144944$$particulos$$pdriver
000144944 951__ $$a2024-09-20-13:01:05
000144944 980__ $$aARTICLE