Cascaded Backstepping Control for a Permanent Magnet Linear Motor using a Dual Kalman Filter

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Authors

As the drive force depends in a nonlinear manner on the currents, an accurate tracking control of permanent magnet linear motors is challenging. In this paper, a cascaded control is proposed and combined with a recursive estimator. In the inner loop of the cascaded structure, an inversion-based control design is employed in combination with an eigenvalue assignment. The outer loop involves a backstepping tracking control of the armature position, where a nonlinear error dynamics is assigned. Given nonlinear friction and other disturbances, a lumped disturbance force is estimated by a dual Kalman filter - in addition to the state variables. This combination achieves a high robustness of the overall control structure. The control performance is investigated in detailed simulations, where also measurement noise and external disturbances are included.

Original languageEnglish
Title of host publicationIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society : Proceedings
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date2024
ISBN (print)978-1-6654-6455-0
ISBN (electronic)978-1-6654-6454-3
DOIs
Publication statusPublished - 2024
Event50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024 - Chicago, United States
Duration: 03.11.202406.11.2024
Conference number: 50
https://www.iecon-2024.org/

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

    Research areas

  • Backstepping, Dual Kalman Filter, Permanent Magnet Linear Motor
  • Engineering