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基于负载预测的节能型泵控单元稳压控制研究

王飞 郝钰杰 赵慧兵 刘克毅 陈革新 艾超

液压与气动2025,Vol.49Issue(7):53-66,14.
液压与气动2025,Vol.49Issue(7):53-66,14.DOI:10.11832/j.issn.1000-4858.2025.07.006

基于负载预测的节能型泵控单元稳压控制研究

Research on Pressure Regulation Control of Energy-saving Pump Control Unit Based on Load Prediction

王飞 1郝钰杰 2赵慧兵 3刘克毅 4陈革新 3艾超2

作者信息

  • 1. 新疆工程学院 新疆煤炭资源绿色开采教育部重点实验室,新疆 乌鲁木齐 830023||新疆工程学院 机电工程学院,新疆 乌鲁木齐 830023
  • 2. 燕山大学 机械工程学院,河北 秦皇岛 066004
  • 3. 新疆工程学院 机电工程学院,新疆 乌鲁木齐 830023||新疆工程学院 新疆煤矿机电工程技术研究中心,新疆 乌鲁木齐 830023
  • 4. 新疆工程学院 新疆煤炭资源绿色开采教育部重点实验室,新疆 乌鲁木齐 830023||新疆工程学院 机电工程学院,新疆 乌鲁木齐 830023||新疆工程学院 新疆煤矿机电工程技术研究中心,新疆 乌鲁木齐 830023
  • 折叠

摘要

Abstract

Aimed at the problems of low static accuracy and limited dynamic performance of pump control unit,a fuzzy PID pressure stability control method based on load prediction feedforward compensation is proposed to improve the pressure control capability of the pump control unit.Firstly,mathematical models for the servo motor and fixed displacement pump in the pump control unit are established.Secondly,a load prediction algorithm based on long short-term memory neural network is designed,and we train the model,optimize the hyperparameter setting,calculate the evaluation index and carry out simulation verification.Furthermore,the proposed fuzzy PID control method based on load prediction feedforward compensation is analyzed through simulations.Finally,experimental studies validate the control method's effectiveness.The load prediction model achieves high prediction accuracy confirmed by evaluation metrics.With the use of the load prediction results as feedforward signal input compensation,the error between output pressure and expected pressure under two signal responses is reduced by 72.2%and 71.1%respectively compared with that of traditional PID controllers,enabling high-precision pressure stability control in the pump control unit.

关键词

泵控单元/负载预测/前馈补偿/模糊PID/稳压控制/长短期记忆神经网络

Key words

pump control unit/load prediction/feedforward compensation/fuzzy PID/pressure stability control/long short-term memory neural network

分类

机械制造

引用本文复制引用

王飞,郝钰杰,赵慧兵,刘克毅,陈革新,艾超..基于负载预测的节能型泵控单元稳压控制研究[J].液压与气动,2025,49(7):53-66,14.

基金项目

新疆工程学院新疆煤炭资源绿色开采教育部重点实验室自主课题,新疆乌鲁木齐830023(KLXGY-Z2511,KLXGY-Z2402) (KLXGY-Z2511,KLXGY-Z2402)

"天池英才"引进计划(2024XGYTCYC02) (2024XGYTCYC02)

2022年十二师重大科技计划项目"钢结构智能生产线关键技术研究及应用示范"(SRS2022003) (SRS2022003)

河北省省级科技计划资助(23281901Z) (23281901Z)

液压与气动

OA北大核心

1000-4858

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