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 language||English (US)|
|Title of host publication||2018 Annual American Control Conference, ACC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - Aug 9 2018|
|Event||2018 Annual American Control Conference, ACC 2018 - Milwauke, United States|
Duration: Jun 27 2018 → Jun 29 2018
|Name||Proceedings of the American Control Conference|
|Other||2018 Annual American Control Conference, ACC 2018|
|Period||6/27/18 → 6/29/18|
Bibliographical noteFunding Information:
*This project was funded in part by the National Science Foundation under grant SBIR 1720889.
© 2018 AACC.
Copyright 2018 Elsevier B.V., All rights reserved.