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Improved Particle Swarm Optimization for Solving in PID Control of Electro-Hydraulic Servo System

Author

Listed:
  • Chao Liu

    (National Engineering Lab of Offshore Geophysical & Exploration Equipment, China University of Petroleum, China)

Abstract

The drill pipe handling system is characterized by large working load, wide range of load variation and high control accuracy requirements, which put certain requirements on the stability and reliability of the hydraulic system. In this paper, the research on the optimized control of electro-hydraulic servo system of drill pipe handling system is mainly conducted. Firstly, the mathematical model of the electrohydraulic servo system is established, and the transfer function of the electro-hydraulic servo system is solved. Secondly, the Cauchy mutation mechanism is introduced to improve the traditional particle swarm optimization (PSO) algorithm for the defects of local optimum, and the algorithm is verified by a series of experiments.

Suggested Citation

  • Chao Liu, 2023. "Improved Particle Swarm Optimization for Solving in PID Control of Electro-Hydraulic Servo System," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 51(2), pages 42446-42460, June.
    • Handle: RePEc:abf:journl:v:51:y:2023:i:2:p:42446-42460
    DOI: 10.26717/BJSTR.2023.51.008066
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    References listed on IDEAS

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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