Optimizing and tracking of temperature control trajectory of batch process
The optimal operation trajectory of batch process is always determined by experienced workers according to rich experiences. Obviously it is time-consuming and laborious. In order to overcome this, a simple and fast mathematical method is given to obtain the optimal trajectory based on process neural network (PNN), which can extend the traditional artificial neural network (ANN) in the time domain and is especially suitable for the process of serious nonlinear, long prediction and unable be modeled by traditional ANN. Then based on the PNN model, a quadratic form performance index function is presented to obtain the optimal operating trajectory. Finally to track the optimal operating trajectory, internal model control system constituted with filter, internal model and controller model based on BP neural network is proposed. The proposed scheme is successfully applied to a mercaptobenzothiazole batch process.
Process neural network Internal model control Batch process
Shuqian Lin Jing Wang Liulin Cao Qibing Jin
Beijing University of Chemical Technology, Beijing, China, 100029
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2086-2091
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）