首页|基于改进麻雀算法的热压焊温度补偿与控制模型辨识

基于改进麻雀算法的热压焊温度补偿与控制模型辨识

Temperature Compensation and Control Model Identification of Hot-pressing Welding Based on Improved Sparrow Algorithm

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针对热电偶固有时间常数和复杂应用环境造成的热压焊焊接过程中,温度反馈信号滞后明显、控制系统模型准确性不足等问题,对热电偶温度动态补偿方法和温度控制系统智能辨识技术进行研究.提出一种改进的麻雀搜索算法(ASSA),采用水浴法实验数据对热电偶三阶动态补偿滤波器模型进行搜索寻优;基于动态补偿器建立了热压焊控制系统模型,采用ASSA算法实现模型参数辨识.试验结果表明:经过补偿后的慢速热电偶的平均时间常数由160 ms减少至59.7 ms,有效地改善了热电偶的动态特性;设计的ASSA有利于加速控制系统模型辨识参数寻优,所得模型经过仿真验证具有较高精度,对热压焊的自动化控制和优化具有一定的指导意义.
Aiming at the problems of obvious lag of temperature feedback signal and insufficient accuracy of control system model caused by the inherent time constant of thermocouple and complex application environment in hot-pressing welding process,the thermo-couple temperature dynamic compensation method and intelligent identification technology of temperature control system are studied.An improved sparrow search algorithm(ASSA)is proposed to search and optimize the thermocouple third-order dynamic compensation filter model by using the experimental data of water bath method.Based on dynamic compensator,the model of hot-pressing welding control system is established,and ASSA algorithm is used to identify the model parameters.The experimen-tal results show that the average time constant of the slow thermocouple after compensation is reduced from 160 ms to 59.7 ms,which effectively improves the dynamic characteristics of the thermocouple.The designed ASSA is helpful to accelerate the opti-mization of the model identification parameters of the control system,and the obtained model has high accuracy after simulation verification,which has certain guiding significance for the automatic control and optimization of hot-pressing welding.

Improved Sparrow Algorithmdynamic temperature compensationparameter identificationautomatic controlhot bar

张瑞、滕瑞、李光尧、黄海松、杨凯

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贵州大学 现代制造技术教育部重点实验室,贵州 贵阳 550025

长沙理工大学 汽车与机械工程学院,湖南 长沙 410114

改进麻雀算法 温度动态补偿 参数辨识 自动控制 热压焊

2025

自动化技术与应用
中国自动化学会 黑龙江省自动化学会 黑龙江省科学院自动化研究所

自动化技术与应用

影响因子:0.316
ISSN:1003-7241
年,卷(期):2025.44(1)