由输入端自适应评定MAG焊动态过程稳定性的研究

焊接方法不同，输出的电信号就不同，但焊机的输入端供电形式却相同（均为工业三相用电），功率大小相近，若从输入端电信号来评定焊接过程稳定性，则数据采集的硬件可以一致 ，即实现模块化。另外，因输入端提供了焊接所需要的能量，负载的动态变化必在输入端有所反映，表明从输入端评定焊接过程稳定性切实可行。故本课题拟从MAG焊来探索输入端稳定性评估的一般性规律，具体研究内容：(1)建立焊机-电弧一体化模型，获悉输入输出端电信号之间一般性的规律；(2)探究焊机与电网之间的相互影响，结合盲源分离理论，探索相关最优的分离算法，得到代表实际动态过程的“干净”输入端目标电信号；(3)由输入端探寻描述动态过程稳定性的最优参量，以及各种过渡状态下最优评定方法，制定“小数据特征提取-类型辨识-稳定性评判”三步走的自适应评定算法。该研究能促进群控管理技术深入发展，优化焊机参数，以及为功率因素校正、智能电网的建设提供参考。

Different welding methods, electrical output are different, but the power supply mode of welder is the same(industrial three-phase power) and the magnitude of power is similar. So, the hardware of data acquisition can be consistent from the input electrical signal to evaluate the stability of welding process. In addition, because the electrical properties affect a lot by input terminal supplied energy, the dynamic change of load will reflected on the input terminal. As a result, it is feasible to evalutate the stability of welding process from the input terminal. Therefore, it is put forward to evaluate stability of metal active-gas arc welding(MAG) from the input terminal electrical signal. The contents of the project are follows: (1)welder-arc integrated model will be established, and the general law between input-output signal will be gained..(2)the mutual influences between welder and grid electricity will be explored. To get to "clean" input target singals that represented the actual dynamic process, the optimal signal separation algorithm will be investigated according to blind source separation(BSS) theory. (3)the input optimal parameter to described dynamic process will be searched, and the related optimal evaluation method will be analyzed on different transition modes, and the three-step self-adaptive stability evalutaion method of "Feature extraction of small data-Identification of.type-Stability evaluation" will be determined. This work will promote the further development of group control technology. Moreover, it can be beneficial to optimization of welding parameters, power factor correction, and smart grid.