Li, H;
Li, S;
Yan, Y;
(2023)
Disturbance observer based MPC for PMSM with multiple disturbances.
In:
Proceedings of the 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE).
IEEE: Wuhan, China.
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Abstract
This paper proposes an optimisation-based controller for speed regulation of permanent magnet synchronous motor (PMSM) with the safety guarantee on both the current and voltage in the presence of multiple disturbances. A comprehensive disturbance observer (DOB) is designed to estimate the multiple disturbances in PMSM system. By integrating the estimation and future behavior of disturbances into the prediction horizon, an offset-free predictive control law is obtained by solving a constrained optimization problem. Analysis in frequency domain and experimental studies both show that the proposed control approach achieves higher tracking performance with better disturbance rejection.
| Type: | Proceedings paper |
|---|---|
| Title: | Disturbance observer based MPC for PMSM with multiple disturbances |
| Event: | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) |
| Dates: | 16 Jun 2023 - 19 Jun 2023 |
| ISBN-13: | 979-8-3503-9686-7 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/PRECEDE57319.2023.10174295 |
| Publisher version: | https://doi.org/10.1109/PRECEDE57319.2023.10174295 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Permanent magnet synchronous motor (PMSM), speed regulation, model predictive control (MPC), multiple disturbances, disturbance observer (DOB) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10188719 |
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