Volume 45 Issue 5
May  2019
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LYU Zhifeng, ZHANG Jinsheng, WANG Shicheng, et al. Optimal design of multi-coil system for generating uniform magnetic field based on intelligent optimization algorithm and finite element method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(5): 980-988. doi: 10.13700/j.bh.1001-5965.2018.0524(in Chinese)
Citation: LYU Zhifeng, ZHANG Jinsheng, WANG Shicheng, et al. Optimal design of multi-coil system for generating uniform magnetic field based on intelligent optimization algorithm and finite element method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(5): 980-988. doi: 10.13700/j.bh.1001-5965.2018.0524(in Chinese)

Optimal design of multi-coil system for generating uniform magnetic field based on intelligent optimization algorithm and finite element method

doi: 10.13700/j.bh.1001-5965.2018.0524
Funds:

National Natural Science Foundation of China 11602296

National Natural Science Foundation of China 61503393

  • Received Date: 05 Sep 2018
  • Accepted Date: 23 Nov 2018
  • Publish Date: 20 May 2019
  • To solve the problem of high-order derivation and reliability evaluation of optimization results in the multi-coil system magnetic field uniformity optimization design, an optimization design method based on intelligent optimization algorithm and finite element method is proposed. First, the parameters to be optimized are determined, and the magnetic field deviation rate is taken as the objective function. Then, the objective function is optimized by the intelligent optimization algorithm. Finally, based on the optimized structural parameters, the corresponding finite element numerical simulation model is established to verify the reliability of the optimization results. The structural parameters of two sets of Helmholtz coils are optimized. The simulation results show that the optimal parameters obtained by the proposed method are superior to the parameters obtained by traditional derivation method. And the reliability of the optimization results is confirmed by the finite element numerical method.

     

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