Sirius@Max: Stamicarbon and IPCOS Join Forces in Optimization of Urea Plants

摘要

Model predictive control (MPC, also known as Advanced Process Control or APC) has been widely accepted industrially during the last decade, mainly because of its ability to handle constraints explicitly and the natural way in which it can be applied to multivariable processes. For processes with strong interaction between the different parameters, MPC can offer substantial performance improvements compared with the traditional single-input single-output PID-control strategies. The dense interaction matrix of urea processes, combined with its extreme slow dynamics make these processes ideally suited for MPC technology.