An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Journal: Computational intelligence and neuroscience
PMID: 27217824

Abstract

In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement of coal floor deformation is analyzed and a model is built. Then, the framework of proposed approach is built. Moreover, the constituents of GA such as tangent function roulette wheel selection (Tan-RWS) selection, uniform crossover, and nonuniform mutation are employed to enhance the performance of GFLC. Finally, two simulation examples and an industrial application example are carried out and the results indicate that the proposed method is feasible and efficient.

Authors

  • Chao Tan
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Rongxin Xu
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Zhongbin Wang
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Lei Si
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Xinhua Liu
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China ; Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, Huai'an 211700, China.

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