Resumen: This paper presents a novel nonlinear state observer with discrete-time measurements for estimating the plunger position of linear travel solenoid valves. The observer is an unscented Kalman filter (UKF) for nonlinear systems that iteratively calculates an estimated mean and covariance of the state. It is based on a basic lumped parameter model, which contributes to the computational efficiency of the observer and facilitates its implementation. The magnetic reluctance is modeled taking into account the magnetic saturation and is partly defined by data obtained from finite element analysis (FEA). Boundary constraints are added to the estimated position to prevent it from surpassing its physical limits. Different tests performed with simulated and experimental data show that the estimations are accurate and robust to noise and model inaccuracies. Besides, although the observer has been developed for a specific device, the method can be easily extended to other electromechanical systems in which the position needs to be estimated. Idioma: Inglés DOI: 10.1109/CDC.2017.8264407 Año: 2017 Publicado en: Proceedings of the IEEE Conference on Decision & Control 2017, 17523006 (2017), 5050-5055 ISSN: 0743-1546 Financiación: info:eu-repo/grantAgreement/ES/DGA/T04-FSE Financiación: info:eu-repo/grantAgreement/ES/MEC/FPU14-04171 Financiación: info:eu-repo/grantAgreement/ES/MINECO/RTC-2014-1847-6 Tipo y forma: Artículo (PostPrint) Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)