间歇式反应釜温度串级预测函数控制

Predictive functional cascade temperature control of batch reactor

采用先进预测函数控制(PFC)技术实现实验室规模釜式反应器温度的控制。借助于被控对象的参数模型,对在线不可能测量或很难得到的工艺参数进行了估算,设计并在可编程逻辑控制器(PLC)中实现了温度串级控制。通过修正内嵌参数模型,抵消了模型的不确定性和各种扰动对系统稳定性的影响。结果表明:PFC在控制过程中既能很好地兼顾被控系统中子单元的动态性能,又具有很理想的控制响应品质。

An advanced control concept, Predictive Functional Control （PFC） technique, was applied for temperature control of a batch reactor. Based on the achieved first principle models, the significant process variables that are difficult or impossible to be measured online, were estimated from easily measured variables, and cascade PFC control strategy were projected and implemented. The dynamic of process subunits was explicitly taken into consideration. Model uncertainty and various process disturbances were compensated by modification of internal model. The experimental results present an excellent capability of tracking the set point.