Journal of Electrical Engineering ›› 2018, Vol. 13 ›› Issue (6): 14-19.doi: 10.11985/2018.06.003

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Application of Multi-Population Genetic Algorithm and Truncated Singular Value Decomposition in Switching Arc Inversion

Zhao Hongchen1,Wang Gang2,Liu Xiaoming3   

  1. 1. Shenyang University of Technology Shenyang 110870 China
    2. Guizhou Institute of Technology Guiyang 550003 China
    3. Tianjin Polytechnic University Tianjin 300387 China
  • Received:2018-04-22 Online:2018-06-25 Published:2018-06-25

Abstract:

By using the corresponding relationship between the current and the space magnetic field, the arc is regarded as a set of multiple current lines with variable arc diameters. Based on Biot-Savart’s law, the magnetic field distribution of combined arc streamlines in space is obtained by forward analysis. To simplify the complexity of the problem, the research only considers the phase of the arc not entering the splitter plates, and the multi-population genetic algorithm(MPGA) is used to optimize the objective function for solving the nonlinear equations of the electromagnetic inverse problem to determine the space position of the arc. On the basis of the above, the truncated singular value decomposition(TSVD) method is used to inverse the arc current distribution, with the regularization parameters obtained by the GCV criterion. The inversion results will contribute to understand the physical characteristics of the switch arc.

Key words: Switching arc inverse problem, ill-posed, MPGA, TSVD, GCV criterion

CLC Number: