基于OPC和IMC的先进控制及其应用

工业生产装置的常规PID控制，由于它的简单实用，具有一定的鲁棒性，至今仍被广泛采用采用。但它的PID参数几乎都是凭经验设定的，很难达到最佳效果，使控制质量不理想，造成装置自控率、平稳率低，装置产量不高和产品质量差等状况，针对上述问题，本文提出了一种基于OPC的数据采集技术和内模控制原理相结合的方法，从生产装置获取数据辨识对象模型，然后以辨识后的对象模型为基础对装置实施IMC-PID先进控制。实际应用结果表明，该方法操作简洁实用，效果明显，显著提高了装置的平稳率和自控率。该方法为类似苯乙烯装置的复杂化工控制系统的优化和先进控制提供了一种新的解决方案。

Applications of advanced process control based on object linking and embedding for process control and internal model control techniques

A novel proportional integral differential(PID) optimization method has been proposed in order to deal with the shortcomings of conventional software which result in poor control quality of a styrcne plant.The method is based on the OLE for process control(OPC) technique and internal model control(IMC) control principles.Practical application shows that the method has the advantages of being simple,practicable,economical and easy to implement for the PID optimization of a complex process system such as a styrene plant.