橡胶硫化泛“噪声”控制模型及仿真

针对硫化工艺智能控制过程中的精确和实时性问题，提出了一种基于人工智能的新型控制模型，并将硫化过程中出现的所有噪声统一为一种噪声模型——“泛”噪声，系统控制过程中对该噪声进行自适应学习．该控制策略的目的是提高硫化控制的精确性和控制的实时性，同时为大规模、集群化硫化制品生产提供一条智能控制的途径．该控制模型由两部分组成：神经网络对输入参数进行预分类，动态系统对控制过程中的参数进行自适应学习．模型的动态系统仿真结果表明自适应控制方式对于处理硫化过程中的噪声是有效的．

Extensive Noise Control Model for Plastic & Rubber Sulfuration and Simulation

For the problem of precision and real time control in the process of sulfuration,a new control model is put forward.All the noise existing in the sulfuration process are unified as one kind noise named as extensive noise,and the control system is self-adaptive in the process.The purpose of this strategy is to solve the problem preferred.The model comprises of two parts: one is Neutral Networks which deals with the advance sort,the other is dynamic self-adaptive system which is used to find the system's factors.The simulation result of dynamic self-adaptive system shows that this extensive noise controlled model is valid in the process.