Magnetic Position Estimation in Ferromagnetic Systems Involving Significant Hysteresis

Ryan Madson, Rajesh Rajamani

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

—The proximity of a magnetic sensor to a magnet has been utilized for position measurement in many applications involving small ranges of motion. However, such position measurement becomes challenging when the application involves a ferromagnetic environment and larger ranges of motion. The movement of a magnet magnetizes and demagnetizes the ferromagnetic surroundings and creates significant hysteresis in the magnetic field versus position relationship. This relationship can no longer be represented by an algebraic mathematical function and needs to take the history of previous motions into consideration for calculation of position from magnetic field measurement. This paper presents a position estimation system that utilizes various models to represent the hysteresis behavior, including an interacting multiple model approach, a Preisach model, and a modified Preisach model. The developed position estimation system is evaluated on a large hydraulic actuator used in mobile construction vehicle applications. Experimental results show that an unscented Kalman filter using the modified Preisach hysteresis model can provide a position estimate with an accuracy better than 2% of stroke, in spite of significant hysteresis.

Original languageEnglish (US)
Pages (from-to)1555-1563
Number of pages9
JournalIEEE/ASME Transactions on Mechatronics
Volume23
Issue number4
DOIs
StatePublished - Aug 2018

Bibliographical note

Funding Information:
This work was supported in part by the National Science Foundation under Grant SBIR 1720889.

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Hydraulic actuator
  • hysteresis
  • position estimation
  • unscented Kalman filter (UKF)

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