Nonlinear Bounded State Estimation for Sensorless Control of an Electromagnetic Device

Moya-Lasheras, Eduardo (Universidad de Zaragoza) ; Sagues, Carlos (Universidad de Zaragoza) ; Ramirez-Laboreo, Edgar (Universidad de Zaragoza) ; Llorente, Sergio

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.)