Abstract
With the great capability in levitating rotors, active magnetic bearings (AMB) have been increasingly applied in high-speed rotating machinery applications. Typically, for the practical application of AMB rotor systems, synchronous unbalance vibration has long been a critical issue. Thus, exploring a facile yet effective approach to address this issue has attracted tremendous interest from both industrial and academic perspectives. Herein, in this work, we propose a novel strategy to suppress the unbalance vibration through a compensation control algorithm method. The compensation control algorithm which is established based on the combination of first-order all-pass filter (APF) and synchronous rotating frame (SRF) algorithm demonstrates to be efficient in greatly reducing the unbalance vibration and resulting in excellent system stability according to both simulation and experimental results. This work not only confirms the applicability of APF-SRF algorithm for the AMB rotor systems but also opens up a new paradigm to modulate and minimize the unbalance vibration of AMB rotor systems.
Highlights
With the main function of reducing friction between moving parts, bearing acts as one of the most important components in rotating machinery
We present a novel approach based on the combination of first-order all-pass filter (APF) and synchronous rotating frame (SRF) algorithm to minimize the unbalance vibration of active magnetic bearings (AMB) rotor systems
Synchronous unbalance vibration has long been a critical issue for the practical application of AMB
Summary
With the main function of reducing friction between moving parts, bearing acts as one of the most important components in rotating machinery. We present a novel approach based on the combination of first-order all-pass filter (APF) and synchronous rotating frame (SRF) algorithm to minimize the unbalance vibration of AMB rotor systems. Making use of the SRF-based method, one can realize the good stability of AMB rotor systems by only adjusting the compensate angle. It should be pointed out here that according to the hypothesis of previous work, the rotor displacement measurements in the two orthogonal axes possess the same amplitude with a phase difference of π/2. Such phenomenon may greatly limit the SRF-based controller performance To address this problem, we propose a more practical algorithm for AMB rotor unbalance compensation.
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