Vibration suppression control for AMB system based on static learning process and feedforward current compensation

Caiyong Ye; Jintao lu; Shanming Wan; Xiaodong Qi

Vibration suppression control for AMB system based on static learning process and feedforward current compensation

Vol. 24, No. 4, pp. 573-585, Apr. 2024

10.1007/s43236-023-00745-6

Active magnetic bearing (AMB)

Feedforward compensation

Autobalancing

Vibration suppression

Abstract

Synchronous vibration caused by rotor eccentricity is an important obstacle to the development of an active magnetic bearing (AMB) system. To solve this problem, a novel autobalancing control strategy has been proposed, which includes a static learning process and dynamic feedforward current injection process. In this algorithm, a dynamic response process under unbalanced force is simulated by a static learning process. Then, a transfer function containing amplitude and phase information is obtained. According to the obtained transfer function information, a specific feedforward current is constructed to eliminate the synchronous component in the control current and realize the autobalancing of vibration displacement. Computational complexity compared with conventional control strategies is further investigated. Moreover, the velocity sensor is no longer needed in the proposed control strategy. The simulation and experimental results of the AMB system show that the synchronous component of the control current and the amplitude of the rotor vibration displacement can be significantly reduced.

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Cite this article

[IEEE Style]

C. Ye, J. lu, S. Wan, X. Qi, "Vibration suppression control for AMB system based on static learning process and feedforward current compensation," Journal of Power Electronics, vol. 24, no. 4, pp. 573-585, 2024. DOI: 10.1007/s43236-023-00745-6.

[ACM Style]

Caiyong Ye, Jintao lu, Shanming Wan, and Xiaodong Qi. 2024. Vibration suppression control for AMB system based on static learning process and feedforward current compensation. Journal of Power Electronics, 24, 4, (2024), 573-585. DOI: 10.1007/s43236-023-00745-6.