基于粒子群优化的磁悬浮鼓风机转子模型修正方法研究

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关键词：磁悬浮鼓风机；主动磁悬浮轴承；柔性转子建模；模型修正；粒子群优化中图分类号：TH133.3 文献标志码：A 文章编号：1671-5276（2025）05-0111-05

Research on Model Updating Method of Rotor in Magnetic Levitation Blower Based on Particle Swarm Optimization

LIU Fei1 ，XU Yuanping²，ZHOU Yang²，ZHOU Jin² （1. Shandong Zhangqiu Blower Co.，Ltd.，Zhangqiu 250299，China;2. College of Mechanical and Electrical

Engineering，Nanjing University of Aeronautics and Astronautics，Nanjing 21ool6，China）

Abstract：As therotor is stably levitatedbyactive magnetic bearings and closed-loop fedback control inthe magnetic levitation blower systems，theaccurate rotor modelis esentialin the design of controller.Regarding the discrepancy betweenthetheoreticalandexperimentaldynamiccharacteristicduetotheshrink一fitassemblyofrotor，themodel updating methodwith theobjectivefunctionof thediscrepanciesbetween theoreticaland experimental bending mode frequencies and modal assrance criterion is emplyed.Inorder to minimize the modeling eror，theequivalent Young's modulusanddensityofshrink—fited laminationareiterativelyoptimized basedonthe particle swarmoptimization.The simulationanalysis resultsvalidated by modal test show thatthe modified model in modal prediction is improved，with therelative error of the first three bending modesless than 5% and the modal assurance criterions more than 0.9.

Keywords： magnetic levitation blower;active magnetic bearing；flexiblerotor modeling；model updating；particle swarm optimization

0 引言

主动磁悬浮轴承（AMB）因其无摩擦、无需润滑、主动可控等优点，被广泛应用于旋转机械中。（剩余7093字）