外圆纵向智能磨削控制系统的研究

Study of Intelligent Control System in Cylindrical Traverse Grinding Process

通过对磨削机理、专家系统、模糊神经网络和人机一体化学术思想的深入研究 ,本文提出了一种外圆磨削加工中人机一体化智能控制策略。其中 ,初始磨削加工参数由基于神经网络的专家系统决定 ;磨削过程中采用了大进给和超切入的优化磨削方法 ;由二个模糊神经网络和人组成的合作智能控制系统实时修正磨削加工参数。实验结果表明 ,该系统在外圆磨削加工中适应性强 ,可极大地提高磨削质量和效率。

Based on the study of grinding mechanisms, expert system, fuzzy-neural network and human-machine system theory, a human-machine intelligent control system in cylindrical grinding process was proposed in this paper. In this system, the initial grinding parameters were decided by the expert system based on neural network. Deep-feed and setting overshoot optimization methods were also adapted during the grinding process, and a human machine cooperation system (composed of human and two (2) fuzzy-neural networks) made it possible for the revision of process parameters in real-time. This system allowed optimum grinding quality and high efficiency to be attained in a highly dynamic grinding process. Experimental results showed that this human-machine intelligent control system in cylindrical grinding process is feasible and has high adaptive capability.