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构造了一个自适应动态模型,实现对注塑成型过程参数的实时智能控制,使产品成型总处于最优状态。作者基于一个优化的BP神经网络,建立一个计算质量指标的数学控制模型,并通过正交试验为自适应控制模型提供过程参数调整顺序的动态规则,通过研究专家知识为自适应控制模型提供过程参数调整方向的经验规则。该系统显著降低了废品率,实用性强。
An adaptive dynamic model is constructed to realize the real-time intelligent control of the injection molding process parameters so that the product molding is always in the optimal condition. Based on an optimized BP neural network, the author establishes a mathematical control model to calculate the quality index, and provides the adaptive rules for the adaptive control model through the orthogonal experiment. The dynamic rules for adjusting the order of the process parameters are provided by the expert knowledge, and the process parameters are provided for the adaptive control model Adjust the direction of experience rules. The system significantly reduces the rejection rate, practicality.