000121017 001__ 121017
000121017 005__ 20240104111816.0
000121017 0247_ $$2doi$$a10.1109/TMECH.2020.2987942
000121017 0248_ $$2sideral$$a117966
000121017 037__ $$aART-2020-117966
000121017 041__ $$aeng
000121017 100__ $$0(orcid)0000-0001-6244-3366$$aMoya-Lasheras, E.$$uUniversidad de Zaragoza
000121017 245__ $$aRun-to-run control with Bayesian optimization for soft landing of short-stroke reluctance actuators
000121017 260__ $$c2020
000121017 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121017 5203_ $$aThere is great interest in minimizing the impact forces of reluctance actuators during commutations, in order to reduce contact bouncing, acoustic noise and mechanical wear. In this regard, a run-to-run control algorithm is proposed to decrease the contact velocity, by exploiting the repetitive operations of these devices. The complete control is presented, with special focus on the optimization method and the input definition. The search method is based on Bayesian optimization, and several additions are introduced for its application in run-to-run control, e.g. the removal of stored points and the definition of a new acquisition function. Additionally, methods for the input parametrization and dimension reduction are presented. For analysis, Monte Carlo simulations are performed using a dynamic model of a commercial solenoid valve, comparing the proposed search method with two alternatives. Furthermore, the control strategy is validated through experimental testing, using several devices from the same ensemble of solenoid valves. IEEE
000121017 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000121017 590__ $$a5.303$$b2020
000121017 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b14 / 63 = 0.222$$c2020$$dQ1$$eT1
000121017 591__ $$aENGINEERING, MECHANICAL$$b13 / 133 = 0.098$$c2020$$dQ1$$eT1
000121017 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b37 / 273 = 0.136$$c2020$$dQ1$$eT1
000121017 591__ $$aENGINEERING, MANUFACTURING$$b15 / 50 = 0.3$$c2020$$dQ2$$eT1
000121017 592__ $$a1.935$$b2020
000121017 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ1
000121017 593__ $$aControl and Systems Engineering$$c2020$$dQ1
000121017 593__ $$aComputer Science Applications$$c2020$$dQ1
000121017 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000121017 700__ $$0(orcid)0000-0002-3032-954X$$aSagues, C.$$uUniversidad de Zaragoza
000121017 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000121017 773__ $$g25, 6 (2020), 2645 - 2656$$pIEEE/ASME trans. mechatron.$$tIEEE/ASME Transactions on Mechatronics$$x1083-4435
000121017 8564_ $$s10208206$$uhttps://zaguan.unizar.es/record/121017/files/texto_completo.pdf$$yPostprint
000121017 8564_ $$s3689378$$uhttps://zaguan.unizar.es/record/121017/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000121017 909CO $$ooai:zaguan.unizar.es:121017$$particulos$$pdriver
000121017 951__ $$a2024-01-04-11:05:03
000121017 980__ $$aARTICLE