Resumen: There 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 Idioma: Inglés DOI: 10.1109/TMECH.2020.2987942 Año: 2020 Publicado en: IEEE/ASME Transactions on Mechatronics 25, 6 (2020), 2645 - 2656 ISSN: 1083-4435 Factor impacto JCR: 5.303 (2020) Categ. JCR: AUTOMATION & CONTROL SYSTEMS rank: 14 / 63 = 0.222 (2020) - Q1 - T1 Categ. JCR: ENGINEERING, MECHANICAL rank: 13 / 133 = 0.098 (2020) - Q1 - T1 Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 37 / 273 = 0.136 (2020) - Q1 - T1 Categ. JCR: ENGINEERING, MANUFACTURING rank: 15 / 50 = 0.3 (2020) - Q2 - T1 Factor impacto SCIMAGO: 1.935 - Electrical and Electronic Engineering (Q1) - Control and Systems Engineering (Q1) - Computer Science Applications (Q1)