| 摘要 |
According to the present invention, model-based control of industrial processes is promoted by using a merged MLD system model for both the estimation and subsequent control of the industrial process, thus simplifying and expediting the set- up of model based control together with accurate estimation of initial states. In particular, an optimization of an objective function is performed, wherein the objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the industrial process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for the subsequent control of the industrial process in a model-based manner including the very same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the industrial process, and may thus be elaborated by a commissioning engineer during a customization step on a plant site, and hence at a comparably late moment during plant execution.
|
