磁控摆动电弧焊缝跟踪传感器的优化
发布时间：2019-02-26 20:16
【摘要】：近几十年以来,随着科学技术的不断进步,数字化、自动化、智能化技术得到不断的发展与应用,这也促进了对高质量、高效率焊接的需求与焊接技术的发展。自动化焊接能够代替传统人工手弧焊,具备传统手弧焊不曾拥有的独特优势:焊缝质量相对而言更加稳定,忽略人力因素的干扰;代替了传统的人工劳作,节约大量劳动生产成本;大大提高了企业生产效率,自动化焊接设备正在工业领域中发挥着越来越大的作用。本文对磁控摆动电弧焊缝自动跟踪系统的相关问题展开研究,对磁控摆动电弧焊缝跟踪传感器的磁场发生装置以及励磁电源进行了优化设计,通过传感器主要参数对跟踪传感信号影响的试验数据,构建了传感器主要参数的预测响应模型。其主要目的在于获取稳定的具有较低失真度的焊缝跟踪传感信号,以提高焊缝跟踪系统的稳定性与跟踪精度,主要内容如下:1.由于磁控摆动电弧传感器中激磁模块出现的激磁波形失真、激磁信号调节困难等现象,对激磁模块进行优化设计,重新设计激磁信号的功放电路,减小激磁信号的失真,增强其抗干扰能力,便于之后试验部分的调节。2.为了解决磁控摆动电弧传感器的跟踪信号稳定性不好,干扰信号多等问题,引入拉丁超立方取样(Latin Hypercube Sampling,LHS)试验设计方法进行焊缝跟踪传感信号的采集实验,研究传感器主要参数对焊缝跟踪传感信号的影响规律,为后面的磁控摆动电弧焊缝跟踪传感器的参数优化提供试验基础。3.由于磁控摆动电弧焊缝跟踪传感器的跟踪传感信号受多个因素交互作用,为降低跟踪传感信号的失真度,提高焊缝跟踪效果,采用Kriging近似代理的技术构建磁控摆动电弧传感器的参数(励磁频率、励磁电流、磁极间隙、线圈匝数)预测模型,并通过验证。4.对磁控摆动电弧焊缝跟踪系统的实验平台进行简单介绍,并且依据上文构建的预测响应模型,选取传感器参数的优化设计点,在经过优化后的磁控摆动电弧焊缝跟踪平台上开展焊缝跟踪试验,获得了波形明显且干扰少的跟踪传感信号,与优化前相比较提高了焊缝跟踪系统的准确性和稳定性。
[Abstract]:In recent decades, with the continuous progress of science and technology, digital, automation, intelligent technology has been continuously developed and applied, which has also promoted the demand for high-quality, high-efficiency welding and the development of welding technology. Automatic welding can replace the traditional artificial hand arc welding, has the unique advantage that the traditional hand arc welding does not have: the welding seam quality is relatively stable, neglects the manpower factor interference; Instead of the traditional manual labor, a large amount of labor production costs are saved, and the production efficiency of enterprises is greatly improved. Automatic welding equipment is playing a more and more important role in the industrial field. In this paper, the problems related to the automatic tracking system of the magnetron swinging arc welding seam are studied. The magnetic field generator and the excitation power supply of the magnetron swinging arc welding seam tracking sensor are optimized. Based on the experimental data of the influence of the main parameters of the sensor on the tracking of the sensor signal, the predictive response model of the main parameters of the sensor is constructed. The main purpose of the system is to obtain stable sensing signals of seam tracking with low distortion, so as to improve the stability and tracking accuracy of weld tracking system. The main contents are as follows: 1. In order to reduce the distortion of excitation signal, the excitation module is optimized and the power amplifier circuit of excitation signal is re-designed to reduce the distortion of excitation signal because of the distortion of excitation waveform and the difficulty of adjusting excitation signal in the magnetic swing arc sensor, and so on, the excitation module is optimized and the power amplifier circuit of excitation signal is re-designed. Enhance its anti-jamming ability to facilitate the subsequent regulation of the test part. 2. In order to solve the problems of unstable tracking signal and multiple interference signals of magnetron swing arc sensor, Latin hypercube sampling (Latin Hypercube Sampling,LHS (Latin Hypercube sampling) test design method is introduced to collect welding seam tracking sensing signal. The influence of the main parameters of the sensor on the sensing signal of welding seam tracking is studied in order to provide the experimental basis for the optimization of the parameters of the magnetron swinging arc welding seam tracking sensor. 3. Because the tracking sensing signal of the magnetron swinging arc welding seam tracking sensor is affected by many factors, in order to reduce the distortion of the tracking sensing signal and improve the tracking effect of the welding seam, The prediction model of parameters (excitation frequency, excitation current, magnetic pole gap, coil turn number) of magnetron swinging arc sensor is constructed by using Kriging approximate proxy technique, and the prediction model is verified by .4. The experimental platform of magnetron swinging arc welding seam tracking system is introduced briefly. According to the prediction response model constructed above, the optimal design point of sensor parameters is selected. The welding seam tracking experiment was carried out on the optimized magnetron swinging arc welding seam tracking platform, and the tracking sensing signal with obvious waveform and less interference was obtained, which improved the accuracy and stability of the welding seam tracking system compared with the pre-optimization.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG409
本文编号：2431112
[Abstract]:In recent decades, with the continuous progress of science and technology, digital, automation, intelligent technology has been continuously developed and applied, which has also promoted the demand for high-quality, high-efficiency welding and the development of welding technology. Automatic welding can replace the traditional artificial hand arc welding, has the unique advantage that the traditional hand arc welding does not have: the welding seam quality is relatively stable, neglects the manpower factor interference; Instead of the traditional manual labor, a large amount of labor production costs are saved, and the production efficiency of enterprises is greatly improved. Automatic welding equipment is playing a more and more important role in the industrial field. In this paper, the problems related to the automatic tracking system of the magnetron swinging arc welding seam are studied. The magnetic field generator and the excitation power supply of the magnetron swinging arc welding seam tracking sensor are optimized. Based on the experimental data of the influence of the main parameters of the sensor on the tracking of the sensor signal, the predictive response model of the main parameters of the sensor is constructed. The main purpose of the system is to obtain stable sensing signals of seam tracking with low distortion, so as to improve the stability and tracking accuracy of weld tracking system. The main contents are as follows: 1. In order to reduce the distortion of excitation signal, the excitation module is optimized and the power amplifier circuit of excitation signal is re-designed to reduce the distortion of excitation signal because of the distortion of excitation waveform and the difficulty of adjusting excitation signal in the magnetic swing arc sensor, and so on, the excitation module is optimized and the power amplifier circuit of excitation signal is re-designed. Enhance its anti-jamming ability to facilitate the subsequent regulation of the test part. 2. In order to solve the problems of unstable tracking signal and multiple interference signals of magnetron swing arc sensor, Latin hypercube sampling (Latin Hypercube Sampling,LHS (Latin Hypercube sampling) test design method is introduced to collect welding seam tracking sensing signal. The influence of the main parameters of the sensor on the sensing signal of welding seam tracking is studied in order to provide the experimental basis for the optimization of the parameters of the magnetron swinging arc welding seam tracking sensor. 3. Because the tracking sensing signal of the magnetron swinging arc welding seam tracking sensor is affected by many factors, in order to reduce the distortion of the tracking sensing signal and improve the tracking effect of the welding seam, The prediction model of parameters (excitation frequency, excitation current, magnetic pole gap, coil turn number) of magnetron swinging arc sensor is constructed by using Kriging approximate proxy technique, and the prediction model is verified by .4. The experimental platform of magnetron swinging arc welding seam tracking system is introduced briefly. According to the prediction response model constructed above, the optimal design point of sensor parameters is selected. The welding seam tracking experiment was carried out on the optimized magnetron swinging arc welding seam tracking platform, and the tracking sensing signal with obvious waveform and less interference was obtained, which improved the accuracy and stability of the welding seam tracking system compared with the pre-optimization.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG409
【参考文献】
相关期刊论文 前2条
1 洪波;魏复理;来鑫;潘际銮;尹力;;一种用于焊缝跟踪的磁控电弧传感器[J];焊接学报;2008年05期
2 张小梅;胡方明;任爱锋;;基于数字预失真技术的功放线性化研究[J];计算机仿真;2012年07期
，本文编号：2431112
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