基于变精度粗糙集理论的焊接动态过程知识建模方法研究
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摘要
焊接自动化是焊接技术发展的一个趋势,由于焊接过程的高度复杂性,使得难以获得焊接过程的精确数学模型,从而限制了传统控制方法的应用。近年来,智能控制由于对复杂过程的适应性而得到重视,而在智能控制系统设计中,建模一般是必不可少且具有重要意义的。用模糊集方法、神经网络方法以及两者相结合的方法获取焊接过程的知识模型成为科研人员关注的焦点,但这些方法都存在一些本身难以克服的缺点。基于粗糙集(Rough Set, RS)的建模方法作为一种较新的方法已在焊接中得到应用,体现出较好的对焊接过程的适用性。但其应用水平还只是停留在经典RS集的程度上。为克服经典RS模型的一些不足,本文引入了变精度粗糙集理论(Variable Precision Rough Set,VPRS),提出了一种基于VPRS的知识建模方法。
该方法考虑焊接过程和VPRS理论本身的特点,主要包含四个步骤:源数据的获取、数据的预处理、VPRS模型约简和知识推理。
(1)源数据的获取
这是VPRS建模方法的前提和基础。本文采用实验设计法来获取焊接过程的数据。以脉冲钨极氩弧焊(Gas Tungsten Arc Welding,GTAW)
Welding automation is a trend of welding technical development. Be-cause of the high complexity of arc welding process, it is hard to obtain an accurate mathematical models, which limits the further application of tradi-tional control method. Recently, more attention has been paid to intelligent control for its adaptability to complex processes. Intelligent modeling is usu-ally essential and significant to the design of intelligent control system. Re-searches are focused on fuzzy set method, neural network method or their hybrid method for welding process’s intelligent modeling. However, these methods have some disadvantages that are hard to overcome by themselves. Rough set (RS) based modeling method, being a relative new modeling method, has been used in welding field and has shown its adaptability. How-
该方法考虑焊接过程和VPRS理论本身的特点,主要包含四个步骤:源数据的获取、数据的预处理、VPRS模型约简和知识推理。
(1)源数据的获取
这是VPRS建模方法的前提和基础。本文采用实验设计法来获取焊接过程的数据。以脉冲钨极氩弧焊(Gas Tungsten Arc Welding,GTAW)
Welding automation is a trend of welding technical development. Be-cause of the high complexity of arc welding process, it is hard to obtain an accurate mathematical models, which limits the further application of tradi-tional control method. Recently, more attention has been paid to intelligent control for its adaptability to complex processes. Intelligent modeling is usu-ally essential and significant to the design of intelligent control system. Re-searches are focused on fuzzy set method, neural network method or their hybrid method for welding process’s intelligent modeling. However, these methods have some disadvantages that are hard to overcome by themselves. Rough set (RS) based modeling method, being a relative new modeling method, has been used in welding field and has shown its adaptability. How-
引文
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