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管道检测器非线性波动摩擦力主动控制策略

张众超 李一鸣 宋桂秋

中国石油大学学报(自然科学版)2026,Vol.50Issue(1):240-249,10.
中国石油大学学报(自然科学版)2026,Vol.50Issue(1):240-249,10.DOI:10.3969/j.issn.1673-5005.2026.01.024

管道检测器非线性波动摩擦力主动控制策略

Active control strategy of nonlinear fluctuating friction force of pipeline inspection gauge

张众超 1李一鸣 1宋桂秋1

作者信息

  • 1. 东北大学机械工程与自动化学院,辽宁 沈阳 110819
  • 折叠

摘要

Abstract

Pipeline inspection gauge has become the most widely used pipeline detection method at present because of its strong functionality and non-shutdown detection advantages.The theoretical and experimental research on the widespread phenomenon of large fluctuations in frictional force during the operation of the detector was conducted.A nonlinear friction model of the detector was derived.Based on the proposed model,the single-neuron adaptive PID(SNA-PID)control algo-rithm based on noise-adaptive unscented Kalman filter(UKF)was adopted to control the fluctuating friction force.A detector testing prototype which can realize active control of friction force was developed.A pipeline experimental platform was set ac-cording to the proposed theoretical model and testing prototype,and several experiments were conducted for verification.The results show that the errors of the proposed mathematical model are 1.6%,1.3%and 0.8%under the velocity of 0.1-0.3 m/s,respectively,which can accurately predict the friction force exerted on the detector.Compared with no control system,SNA-PID controller can restrain 41.5%,49.7%and 61.4%of friction force fluctuation range.Compared with other control al-gorithms,the proposed algorithm has better robustness and control accuracy.The feasibility and effectiveness of the proposed control algorithm in suppressing the friction force fluctuation of the detector by controlling the interference were verified.

关键词

主动控制检测器/SNA-PID控制器/非线性摩擦力/管道试验平台

Key words

active control gauge/SNA-PID controller/nonlinear friction force/pipeline experimental platform

分类

信息技术与安全科学

引用本文复制引用

张众超,李一鸣,宋桂秋..管道检测器非线性波动摩擦力主动控制策略[J].中国石油大学学报(自然科学版),2026,50(1):240-249,10.

基金项目

国家自然科学基金项目(51805077) (51805077)

辽宁省科技重大专项(2020JH1/10100012) (2020JH1/10100012)

中国石油大学学报(自然科学版)

1673-5005

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