Paper
4 March 2024 Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance
Author Affiliations +
Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298154 (2024) https://doi.org/10.1117/12.3014959
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China
Abstract
During the operation of the magnetic bearing, there is an unbalanced component in the displacement signal at the same frequency as the rotational speed, which produces the displacement stiffness force of the same frequency of speed to affect the performance of the control system, so it is necessary to suppress the magnetic bearing displacement stiffness force. Due to the influence of displacement sensor runout and the nonlinear characteristics of magnetic bearings, there is also a speed multiplication component in the displacement signal, and in view of the above problems, a feed-forward compensation method for magnetic bearing displacement stiffness force considering harmonic disturbance is proposed, and the speed multiplication component in the displacement signal is suppressed by a second-order generalized integrator with feedback coefficient in series, and the displacement stiffness force is compensated in real time by the feed-forward compensation method. The simulation results show that this method can effectively reduce the influence of the harmonic disturbance on the displacement stiffness compensation in the displacement signal, and effectively improve the compensation accuracy of the displacement stiffness force.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Penghao Fan, Jianzhong Sun, Fengxian Bai, Xinhang Chen, Weihao Song, and Haochen Wang "Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298154 (4 March 2024); https://doi.org/10.1117/12.3014959
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