On Addressing Hysteresis in Magnetic Position Estimation

Ryan Madson, Rajesh Rajamani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Estimating the position of a moving magnet becomes challenging when the application involves a ferromagnetic environment. The movement of the 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. This paper presents a position estimation system that utilizes various models to represent the hysteresis behavior, including an interacting multiple model approach and a 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 Preisach hysteresis model can provide a more accurate position estimate by accounting for the significant hysteresis.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2739-2744
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
Volume2018-June
ISSN (Print)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
CountryUnited States
CityMilwauke
Period6/27/186/29/18

Bibliographical note

Funding Information:
*This project was funded in part by the National Science Foundation under grant SBIR 1720889.

Publisher Copyright:
© 2018 AACC.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

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