碳纤维原丝纺丝过程的在线监控协同式专家系统

摘要

提出了一种针对碳纤维原丝纺丝过程的在线监控协同式专家系统，以NetCon网络化控制系统为硬件壤础建立碳纤维原丝纺丝在线监测系统，利用RBF神经网络建立原丝性能在线预测模型，同时引入遗传算法，增强该神经网络模型的适应性和学习能力。以上述RBF神经网络模型为基础，建立碳纤维原丝纺丝监控协同式专家系统，对影响碳纤维原丝性能的主要指标因素进行调节和配置。该方法为碳纤维原丝纺丝在线监控提出了一种新的思路，并获得了满意的监控效果。%A collaborative expert system for online monitoring of carbon fiber spinning process is presented. Carbon fiber spinning online monitoring system is established using NetCon network control system as hardware. Fiber quality prediction model using RBF neural network is built. Genetic algorithm is used to enhance the adaptability of the neural network model and learning ability. The established spinning optimization expert system based on RBF neural network model is used to adjust and configure the main factors influencing carbon fibers quality. The method proposes a new idea in carbon fibers spinning process optimization, and achieves desired result for online optimization of carbon fibers spinning process.