Cascaded Backstepping Control for a Permanent Magnet Linear Motor using a Dual Kalman Filter
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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 language | English |
---|---|
Title of host publication | IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society : Proceedings |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Publication date | 2024 |
ISBN (print) | 978-1-6654-6455-0 |
ISBN (electronic) | 978-1-6654-6454-3 |
DOIs | |
Publication status | Published - 2024 |
Event | 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024 - Chicago, United States Duration: 03.11.2024 → 06.11.2024 Conference number: 50 https://www.iecon-2024.org/ |
Bibliographical note
Publisher Copyright:
© 2024 IEEE.
- Backstepping, Dual Kalman Filter, Permanent Magnet Linear Motor
- Engineering