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

Chao Liu
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Chao Liu: National Engineering Lab of Offshore Geophysical & Exploration Equipment, China University of Petroleum, China

Biomedical Journal of Scientific & Technical Research, 2023, vol. 51, issue 2, 42446-42460

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:51:y:2023:i:2:p:42446-42460

DOI: 10.26717/BJSTR.2023.51.008066

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