- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
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- Chinese Science Citation Database
| Citation: | ZHOU Yang, ZHOU Jin, ZHANG Yue, XU Yuanping. Optimum Structural Design of Active Magnetic Bearing Based on RBF Approximation Model[J]. Journal of Southwest Jiaotong University, 2022, 57(3): 682-692. doi: 10.3969/j.issn.0258-2724.20210766
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In active magnetic bearing (AMB)-rotor system, the unbalance vibration of system is caused by the uneven mass distribution with respect to the axis. In order to improve the system stability and reduce the unbalance vibration of the rotor at first-order bending critical speed, the mechatronic model of AMB-flexible rotor system considering unbalanced force and unbalanced magnetic pull is established, and combined with the radial basis function (RBF) neural network algorithm, an approximation model of rotor vibration amplitude related to the structure parameters of AMB is obtained. Combined with parametric sensitivity analysis and multi-island genetic algorithm (MIGA), the structural parameters are optimizied with the goal of minimizing the amplitude of rotor vibration. Numerical simulation results show that increasing bias current, area of magnetic poles, number of turns and decreasing air gap within a certain range can increase the system damping, and can reduce unbalanced amplitude at the first-order bending critical speed. The unbalance amplitude is reduced by nearly 50% than before.
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