Multi-objective optimization method of magnetic levitation planar motor

被引：0
|
作者：
Peng R. [1 ]
Xu X. [1 ]
Zheng T. [1 ]
Xu F. [1 ]
Lu X. [1 ]
机构：
[1] School of Electrical Information, Wuhan University, Wuhan
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2020年 / 41卷 / 08期
关键词：
Magnetic levitation planar motor; Multi-objective optimization; Numerical model; Particle swarm optimization;
D O I：
10.19650/j.cnki.cjsi.J2006536
中图分类号：
学科分类号：
摘要：
In the design of the magnetic levitation planar motor, it is necessary to optimize the relevant size parameters for achieving larger thrust coefficient, smaller power dissipation and cost. Proposes an optimization method for the size of the magnetic levitation planar motor based on the multi-objective optimization method. To achieve the optimal accuracy and the efficiency of the optimization process, the numerical model is utilized to calculate the magnetic force which is used in the objective function. This numerical model is formulated by the magnetic node model. Gaussian quadrature is used to solve the magnetic force. According to the optimal objective, the intelligent particle swarm optimization is used to undertake the optimization variables of the planar motor. This method is evaluated by the finite-element method commercial software COMSOLⓇ, and the boundary element software program named RadiaTM. Comparison results show the accuracy and effectiveness of the proposed optimization method. In addition, the reliability and authenticity of this method are further explained by comparing the simulation results with the measurement results. © 2020, Science Press. All right reserved.
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页码：76 / 83
页数：7
相关论文
共 19 条
  • [1] LI H W, LIU SH Q, YU W T, Et al., Maglev rotor axial displacement detection method using eddy current sensor, Chinese Journal of Scientific Instrument, 32, 7, pp. 1441-1448, (2011)
  • [2] ZHOU G, HUANG X L, BO R, Et al., Decoupling control strategy of magnetic levitation planar motor, Proceedings of the CSEE, 29, 12, pp. 81-86, (2009)
  • [3] ZHOU G, HUANG X L, JIANG H, Et al., Current-controlled method of Halbach magnetic levitation planar motor, Transactions of China Electrotechnical Society, 25, 5, pp. 69-75, (2010)
  • [4] LU H C, RUAN G ZH, Sensorless control strategy on stable maglev moving up and down of moving-coil permanent-magnet planar motor, Journal of Electronic Measurement and Instrument, 31, 9, pp. 1427-1433, (2017)
  • [5] LIU Y ZH, SHAN CH L, LIN B W., Multi-objective optimization for torque characteristics of hybrid excitation switched reluctance motor, Journal of Electronic Measurement and Instrument, 32, 5, pp. 9-16, (2018)
  • [6] SHI S N, WANG D ZH, ZHANG R H, Et al., Research on the nonuniformly distributed teeth for reducing the cogging torque of permanent magnet drive, Chinese Journal of Scientific Instrument, 39, 6, pp. 234-240, (2018)
  • [7] CHEN M Y, HUANG H H, HUNG S K., A new design of a submicropositioner utilizing electromagnetic actuators and flexure mechanism, IEEE Transactions on Industrial Electronics, 57, 1, pp. 96-106, (2009)
  • [8] NGUYEN V H, KIM W J., Design and control of a compact light-weight planar positioner moving over a concentrated-field magnet matrix, IEEE/ASME Transactions on Mechatronics, 18, 3, pp. 1090-1099, (2013)
  • [9] LI Y, LIU Y, HUN L, Et al., Model and simulation of magnetic levitation planar motor, Techniques of Automation and Applications, 36, 10, pp. 108-111, (2017)
  • [10] MIN W, ZHANG M, ZHU Y, Et al., Analysis and design of novel overlapping ironless windings for planar motors, IEEE Transactions on Magnetics, 47, 11, pp. 4635-4642, (2011)
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