IEEE Access (Jan 2023)

A Fuzzy Adaptive PID Control Method for Novel Designed Rail Grinding Equipment

  • Xiao Cheng,
  • Jiangzhong Qian,
  • Changwan Zheng,
  • Fengxiang You,
  • Haixia Wang,
  • Jianfa Zhang,
  • Shaolong Kuang

DOI
https://doi.org/10.1109/ACCESS.2022.3232578
Journal volume & issue
Vol. 11
pp. 118 – 124

Abstract

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Rail defects appear in a greater variety and frequency with the rapid development of High-Speed Rail (HSR), which seriously affects the safe operation of trains. Rail grinding is one of the common methods used to eliminate these defects. However, the quality of rail grinding is often limited by the constant power control method. This paper presents a fuzzy adaptive PID control method based on PID control. In this method, a fuzzy rule library of input and output is established according to the experience of experts and grinding operators, and the PID control parameters can be adjusted in real time through the library to achieve the purpose of constant power grinding. Compared with classical PID, the effectiveness of the proposed method was verified by simulation and the rail grinding experiment with the designed equipment. Experimental results showed that the power data of fuzzy adaptive PID control had less fluctuation, which could be basically stabilized at 5KW±0.1KW, and the curve tracking error was reduced by 60.9%. It is concluded that this method can greatly improve the power accuracy and stability of rail grinding.

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