This work focuses on an accurate Extended Kalman Filter (EKF) estimator, which is applied in a forced-feedback metering poppet valve system (FFMPVS). The EKF estimator is used to estimate the position and velocity of the main poppet valve, the pilot poppet valve and the piston through using the control volume pressure, the load pressure and the pressure between the pilot poppet and the actuator housing, which are all disturbed by noise. The EKF estimator takes advantage of its recursive optimal state estimation to estimate the states of this metering poppet valve, which is a non-linear, time-variant dynamical system in real time. The EKF estimator has robustness to parameter variations and ability to filter measurement noises. It is shown that the EKF estimator tracks the states confidently and promptly for both the steady-state and transient performance, at the same time, the EKF estimator also filters the noise of the measured pressures.
Skip Nav Destination
ASME 2008 Dynamic Systems and Control Conference
October 20–22, 2008
Ann Arbor, Michigan, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4335-2
PROCEEDINGS PAPER
Application of Extended Kalman Filter in a Forced-Feedback Metering Poppet Valve System Available to Purchase
Chang Li,
Chang Li
University of Missouri at Columbia, Columbia, MO
Search for other works by this author on:
Roger Fales
Roger Fales
University of Missouri at Columbia, Columbia, MO
Search for other works by this author on:
Chang Li
University of Missouri at Columbia, Columbia, MO
Roger Fales
University of Missouri at Columbia, Columbia, MO
Paper No:
DSCC2008-2247, pp. 1067-1073; 7 pages
Published Online:
June 29, 2009
Citation
Li, C, & Fales, R. "Application of Extended Kalman Filter in a Forced-Feedback Metering Poppet Valve System." Proceedings of the ASME 2008 Dynamic Systems and Control Conference. ASME 2008 Dynamic Systems and Control Conference, Parts A and B. Ann Arbor, Michigan, USA. October 20–22, 2008. pp. 1067-1073. ASME. https://doi.org/10.1115/DSCC2008-2247
Download citation file:
6
Views
Related Proceedings Papers
A Wavelet-Based Smooth Variable Structure Filter
DSCC2012-MOVIC2012
Related Articles
Wireless Vibrotactile Trainer for Balance Rehabilitation
J. Med. Devices (June,2009)
Filtering of Linear Systems With Unknown Inputs
J. Dyn. Sys., Meas., Control (September,2003)
Combined Synthesis of State Estimator and Perturbation Observer
J. Dyn. Sys., Meas., Control (March,2003)
Related Chapters
Introduction to Multivariable Feedback Control
Robust Control: Youla Parameterization Approach
Dynamic Behavior of Pumping Systems
Pipeline Pumping and Compression Systems: A Practical Approach
Measuring Graph Similarity Using Node Indexing and Message Passing
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)