共查询到19条相似文献,搜索用时 171 毫秒
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基于视觉传感的焊缝跟踪控制系统 总被引:10,自引:0,他引:10
研究一种智能型焊缝跟踪控制系统,采用视觉传感器CCD检测弧焊区,并通过图像处理准确识别焊缝位置,同时设计一个参数自调整模糊控制器对焊枪运动进行控制,有效地提高了焊缝跟踪精度。 相似文献
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提出了一种基于遗传算法整定的模糊PID控制器,并将其应用到水下焊缝跟踪系统中.水下焊缝跟踪系统是复杂的非线性系统,传统的PID控制效果不佳,因此设计了模糊PID控制器.该控制器以焊缝位置误差及其变化率作为模糊输入变量,依据Mamdani模糊推理实现PID参数的在线调整.同时,由于PID参数初值对于系统的控制效果影响较大... 相似文献
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对所研制的焊接移动机器人建立了运动学模型并设计了基于高斯基模糊神经网络的焊缝跟踪控制器.采用Denavit-Hartenberg(D-H)齐次坐标变换法分析了机器人本体和滑块对焊炬点位姿的运动学行为,建立了较为完整地运动学模型.在此基础上.提出了采用高斯基模糊神经网络实现焊缝实时跟踪的方法.采用高斯函数作为隶属函数,以滑块位置和小车方位角作为输入,焊炬的转向调整角作为输出,利用神经网络的自学习和自适应能力,实现模糊隶属函数和控制规则的在线修改.焊缝跟踪试验验证了所设计控制器的有效性,其跟踪精度可始终控制在±0.5 mm以内,满足实际焊接工程的需要. 相似文献
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针对铝合金薄板脉冲MIG焊,提出了一种比例积分微分(proportion integral derivative,PID)参数模糊自整定控制方法,文中介绍了其原理及设计思路,将模糊逻辑控制器引入已建立的PID控制器的Simulink仿真模型,实现了PID参数模糊自调节,并进行了输入适应性对比试验和抗干扰试验分析,表明PID参数模糊自整定控制器在输入适应性和抗干扰方面更胜一筹,能进一步提高弧焊电源性能.最后对铝合金1 mm薄板进行了传统PID控制和模糊自整定参数PID控制焊接试验对比.结果表明,该方法焊缝光亮、飞溅少、焊接过程比较平稳,可获得较好的焊缝质量和稳定的焊接过程. 相似文献
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研究了以旋转电弧作为传感器,采用轮式移动机器人对折线焊缝进行跟踪的协调控制方法.设计了自适应模糊控制器对十字滑块和车轮进行协调控制,通过控制机器人移动对焊缝进行粗略跟踪,同时调整十字滑块带动焊枪对焊缝进行精确跟踪.为了使机器人的移动方向与焊缝走向一致,采用Sugeno型模糊逻辑系统作为滤波器对机器人本体的方位角偏差进行滤波处理,使机器人本体在跟踪焊缝的直线段时做直线运动,在跟踪焊缝的曲线段时做转弯运动.结果表明,该算法能够成功应用于最大为60°的折线焊缝和Z形焊缝的自动跟踪焊接. 相似文献
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在焊接过程中,焊缝自动跟踪的精度直接影响着焊接的质量.以埋弧焊控制系统为研究对象,研究了焊缝跟踪模糊控制系统,且在该系统中,采用多个传感器同时对焊缝进行跟踪检测,并利用融合算法对其进行融合,将融合后的结暴作为模糊控制器的输入.计算机仿真结暴表明,在焊缝跟踪中,采用多传感器信息融合是合理的、可行的;且可以减少焊接过程中由传感器引起的误差对跟踪精度的影响,提高控制精度. 相似文献
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The characteristics of welding currents in a rotating arc lead tandem GMAW process and the weld-seam tracking
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Tandem gas metal arc welding (T-GMAW) process shows a high deposition rate that up to three times of the single electrode GMAW,so the welding speed could be significantly increased in this process.However,the majority of this process applications are based on the pre-programmed robotic welding,which does not allow them to track the seam real-time during welding.Rotating arc sensor,sensing the seam position by detecting the changing of welding currents,has been widely adopted in the automatic robot welding process.It is proposed in this paper to integrate the rotating arc sensor with a trailing torch to develop a new approach of rotating arc lead tandem gas metal arc welding (RLT-GMAW) process.The characteristics of the welding currents in the proposed new welding process were firstly studied,and then a self-turning fuzzy control seam tracking strategy was developed for the mobile robot automatic welding.The experimental results showed that the proposed RLT-GMAW process had an excellent seam tracking performance and high welding deposition rate.Even if there were some electromagnetic interactions between the two arcs,the deviation of the welding seam could also be reflected by the fluctuation of the welding currents on the leading arc once the correct welding parameters were selected.Based on the detected deviation,the welding tracking experiments showed that the proposed self-turning fuzzy controller had a good performance for the RLT-GMA W process seam tracking. 相似文献
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《Science & Technology of Welding & Joining》2013,18(3):271-277
AbstractManual underwater welding is usually time consuming, expensive and hard to perform because of the rigorous underwater environment. Automatic underwater welding can be performed faster at less cost and with higher quality. An automatic seam tracking system for underwater flux cored arc welding has been developed. It consists of a vision sensing module, a seam recognition module, a fuzzy controller (FC) and an X–Y travel platform. The vision sensing module can capture clear seam images during welding, successfully resolving the problem of welding arc interference during underwater flux cored arc welding. The seam recognition module filters, enhances and thresholds the seam images and then recognises the seam deviation angle with a three layer back propagation neural network. The FC outputs the control parameters according to the seam deviation angle and then controls the X–Y platform to drive the torch to the centre of the seam. In this study, three different welds were considered: a straight line, a kinked straight line and an S curved line. These welds were tracked real timely during underwater flux cored arc welding. The results show that this seam tracking system can meet the requirements of the automatic underwater flux cored arc welding. 相似文献
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Yanling Xu Huanwei Yu Jiyong Zhong Tao Lin Shanben Chen 《Journal of Materials Processing Technology》2012,212(8):1654-1662
This paper presents a technology about real-time seam tracking, which is necessary to overcome the deficiencies of the teaching-playback welding robots in seam tracking control during gas tungsten arc welding (GTAW) process. A set of vision sensor system has been designed for the welding robot, which can acquire clear and steady welding images. By analyzing the features of welding images, a new improved Canny algorithm has been proposed to detect the edges of seam and pool, and extract the characteristic parameters of welding images. Based on the analysis of the characteristic of the real-time seam tracking, a segmented self-adaptive PID controller is introduced to the system, and some experiments have been done to testify whether the accuracy of the technology can meet the requirements of quality control of seam forming. 相似文献