磁控擺動電弧焊縫跟蹤傳感器的優(yōu)化
發(fā)布時間：2019-02-26 20:16
【摘要】：近幾十年以來,隨著科學技術的不斷進步,數字化、自動化、智能化技術得到不斷的發(fā)展與應用,這也促進了對高質量、高效率焊接的需求與焊接技術的發(fā)展。自動化焊接能夠代替?zhèn)鹘y人工手弧焊,具備傳統手弧焊不曾擁有的獨特優(yōu)勢:焊縫質量相對而言更加穩(wěn)定,忽略人力因素的干擾;代替了傳統的人工勞作,節(jié)約大量勞動生產成本;大大提高了企業(yè)生產效率,自動化焊接設備正在工業(yè)領域中發(fā)揮著越來越大的作用。本文對磁控擺動電弧焊縫自動跟蹤系統的相關問題展開研究,對磁控擺動電弧焊縫跟蹤傳感器的磁場發(fā)生裝置以及勵磁電源進行了優(yōu)化設計,通過傳感器主要參數對跟蹤傳感信號影響的試驗數據,構建了傳感器主要參數的預測響應模型。其主要目的在于獲取穩(wěn)定的具有較低失真度的焊縫跟蹤傳感信號,以提高焊縫跟蹤系統的穩(wěn)定性與跟蹤精度,主要內容如下:1.由于磁控擺動電弧傳感器中激磁模塊出現的激磁波形失真、激磁信號調節(jié)困難等現象,對激磁模塊進行優(yōu)化設計,重新設計激磁信號的功放電路,減小激磁信號的失真,增強其抗干擾能力,便于之后試驗部分的調節(jié)。2.為了解決磁控擺動電弧傳感器的跟蹤信號穩(wěn)定性不好,干擾信號多等問題,引入拉丁超立方取樣(Latin Hypercube Sampling,LHS)試驗設計方法進行焊縫跟蹤傳感信號的采集實驗,研究傳感器主要參數對焊縫跟蹤傳感信號的影響規(guī)律,為后面的磁控擺動電弧焊縫跟蹤傳感器的參數優(yōu)化提供試驗基礎。3.由于磁控擺動電弧焊縫跟蹤傳感器的跟蹤傳感信號受多個因素交互作用,為降低跟蹤傳感信號的失真度,提高焊縫跟蹤效果,采用Kriging近似代理的技術構建磁控擺動電弧傳感器的參數(勵磁頻率、勵磁電流、磁極間隙、線圈匝數)預測模型,并通過驗證。4.對磁控擺動電弧焊縫跟蹤系統的實驗平臺進行簡單介紹,并且依據上文構建的預測響應模型,選取傳感器參數的優(yōu)化設計點,在經過優(yōu)化后的磁控擺動電弧焊縫跟蹤平臺上開展焊縫跟蹤試驗,獲得了波形明顯且干擾少的跟蹤傳感信號,與優(yōu)化前相比較提高了焊縫跟蹤系統的準確性和穩(wěn)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.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TG409
本文編號：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.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TG409
【參考文獻】
相關期刊論文 前2條
1 洪波;魏復理;來鑫;潘際鑾;尹力;;一種用于焊縫跟蹤的磁控電弧傳感器[J];焊接學報;2008年05期
2 張小梅;胡方明;任愛鋒;;基于數字預失真技術的功放線性化研究[J];計算機仿真;2012年07期
，本文編號：2431112
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