Abstract: A method of controlling a real production process, wherein the method includes: a) receiving initial condition data from an on-line simulator system simulating the real production process, and b) performing an optimization based on the initial condition data and on an objective function to obtain set points for controlling the real production process.

Abstract: A method of controlling a real production process, wherein the method includes: a) receiving initial condition data from an on-line simulator system simulating the real production process, and b) performing an optimization based on the initial condition data and on an objective function to obtain set points for controlling the real production process.

Abstract: The invention concerns a method, device and computer program product for controlling a material separation process as well as to a material separating system. The material separating system comprises units separating desired material from undesired material, units measuring process output variables in the material separation process indicative of the degree of separation between desired and undesired material, a unit estimating the state of the process by applying the measured output variables and external constraints for a prediction time interval on a model of the material separation process, a unit optimising an objective function through maximising the recovery of the desired material in the separation process, which optimising provides at least one set point value for each input variable of the model, and at least one regulating unit regulating the separation process by using the set point value.

Abstract: A method and a device for controlling a process for burning lime containing mixture (CaCO3) and converting it to calcinated lime (CaO) in a rotary kiln, the rotary kiln having an elongated cavity surrounded by a wall and a burner arranged to heat the cavity. The method includes collecting measurement data of the temperature in the wall at a plurality of measuring points along the longitudinal axis of the cavity, predicting the actual temperature gradient along the longitudinal axis of the cavity based at least on the measurement data of the temperature in the wall, and by means of a thermal model describing the temperature along the cavity of the kiln, determining a desired temperature gradient along the cavity based on the predicted temperature gradient along the cavity and a predetermined control strategy controlling the temperature in the kiln.

Abstract: A method and a device for controlling a process for burning lime containing mixture (CaCO3) and converting it to calcinated lime (CaO) in a rotary kiln, the rotary kiln having an elongated cavity surrounded by a wall and a burner arranged to heat the cavity. The method includes collecting measurement data of the temperature in the wall at a plurality of measuring points along the longitudinal axis of the cavity, predicting the actual temperature gradient along the longitudinal axis of the cavity based at least on the measurement data of the temperature in the wall, and by means of a thermal model describing the temperature along the cavity of the kiln, determining a desired temperature gradient along the cavity based on the predicted temperature gradient along the cavity and a predetermined control strategy controlling the temperature in the kiln.

Abstract: The invention concerns a method, device and computer program product for controlling a material separation process as well as to a material separating system. The material separating system comprises units separating desired material from undesired material, units measuring process output variables in the material separation process indicative of the degree of separation between desired and undesired material, a unit estimating the state of the process by applying the measured output variables and external constraints for a prediction time interval on a model of the material separation process, a unit optimising an objective function through maximising the recovery of the desired material in the separation process, which optimising provides at least one set point value for each input variable of the model, and at least one regulating unit regulating the separation process by using the set point value.

Abstract: A process is modeled by a dynamic model, handling time dependent relations between manipulated variables of different process sections (10A–D) and measured process output variables. Suggested input trajectories for manipulated variables for a subsequent time period are obtained by optimizing an objective function over a prediction time period, under constraints imposed by the dynamic process model and/or preferably a production plan for the same period. The objective function comprises relations involving predictions of controlled process output variables as a function of time using the process model, based on the present measurements, preferably by a state estimation procedure. By the use of a prediction horizon, also planned future operational changes can be prepared for, reducing any induced fluctuations. In pulp and paper processes, process output variables associated with chemical additives can be used, adapting the optimization to handle chemical additives aspects.

Abstract: A process is modeled by a dynamic model, handling time dependent relations between manipulated variables of different process sections (10A-D) and measured process output variables. Suggested input trajectories for manipulated variables for a subsequent time period are obtained by optimizing an objective function over a prediction time period, under constraints imposed by the dynamic process model and/or preferably a production plan for the same period. The objective function comprises relations involving predictions of controlled process output variables as a function of time using the process model, based on the present measurements, preferably by a state estimation procedure. By the use of a prediction horizon, also planned future operational changes can be prepared for, reducing any induced fluctuations. In pulp and paper processes, process output variables associated with chemical additives can be used, adapting the optimization to handle chemical additives aspects.