欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对间歇过程中最优操作轨线经常从生产经验中人工获取的问题，提出了一种基于过程神经网络（process neural network，PNN）模型的自动计算方法。利用PNN独特的时间聚合算子特点，建立反应操作变量与产品质量之间的关系。基于此时间函数模型，通过产品质量性能指标优化计算，获得最佳的控制轨线，作为实际生产的设定曲线。最后，MPCE仿真平台的间歇反应实验说明了该方法的有效性。
英文摘要：
The optimal operation trajectory of a batch process is always determined by experienced workers, based on their rich experience. Obviously this method is time-consuming and laborious. In order to overcome this problem, a simple and fast mathematical method is given based on a process neural network （PNN） model. A PNN is used to model batch processes in order to overcome the restrictions on instantaneous synchronization input for a traditional neural network. Based on the PNN, a quadratic form performance index function is presented which allows the optimal operating trajectory to be obtained. The proposed scheme is successfully applied to a simulated batch process.
同期刊论文项目
同项目期刊论文
Intelligent modelling of a batch reactor with partially unmeasurable states based upon a structure a
期刊信息
位置：