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Disturbance Estimation for Magnetic Piston Position Applications

[+] Author Affiliations
Ryan Madson, Rajesh Rajamani

University of Minnesota, Minneapolis, MN

Paper No. DSCC2016-9689, pp. V001T14A002; 8 pages
  • ASME 2016 Dynamic Systems and Control Conference
  • Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation
  • Minneapolis, Minnesota, USA, October 12–14, 2016
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5069-5
  • Copyright © 2016 by ASME


The magnetic field of a moving piston can be used for real-time estimation of its position. Piston position estimation is useful for a number of automation and performance improvement applications in hydraulic actuators, pneumatic cylinders, and I.C. engines. A significant challenge to magnetic field based position estimation comes from disturbances due to unexpected ferromagnetic objects coming close to the sensors.

This paper develops a new disturbance estimation method based on modeling the magnetic disturbance as a dipole with unknown location and magnitude. A Truncated Interval Unscented Kalman Filter (TIUKF) is used to estimate all the parameters of this unknown dipole. Experimental data from a pneumatic actuator is used to verify the performance of the developed estimator. Experimental results show that the developed estimator is significantly superior to a linear magnetic field model based disturbance estimator.

Copyright © 2016 by ASME
Topics: Pistons



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