Abstract: A system and method for optimization of a continuous digester operation of a continuous digester are presented. The system includes a tracking module for tracking of process variables in the continuous digester operation and developing non-linear empirical model for one or more quality variables. A soft sensor module is used for deploying a soft sensor based on the non-linear empirical model and for generating soft measurements corresponding to the quality variables at different locations. A constraint management module is used for generating dynamically a set of constraints that are used by a model predictive controller for computing set points for optimization of continuous digester operation.

Abstract: Operation of a cane preparation unit is disclosed which can include providing a working range for at least one operating variable for a plurality of carriers of a cane preparation unit, estimating energy consumed corresponding to a first plurality of set points for the at least one operating variable, selecting one or more first set points corresponding to reducing (e.g., minimizing) energy consumed for the at least one operating variable as use set points, and operating the cane preparation unit at the use set points.

Abstract: Exemplary embodiments relate to a method and system for updating a model in a model predictive controller. The system executing a method that includes assessing the deviation of the operating performance level from the desired performance level of the process plant, and diagnosing the model predictive control for the model plant mismatch by updating the model in a model predictive controller. The step of diagnosing the model predictive controller includes determining the model prediction error in relation to model plant mismatch, quantifying the model plant mismatch, and updating the model in the model predictive controller.

Abstract: A system and method for optimization of a continuous digester operation of a continuous digester are presented. The system includes a tracking module for tracking of process variables in the continuous digester operation and developing non-linear empirical model for one or more quality variables. A soft sensor module is used for deploying a soft sensor based on the non-linear empirical model and for generating soft measurements corresponding to the quality variables at different locations. A constraint management module is used for generating dynamically a set of constraints that are used by a model predictive controller for computing set points for optimization of continuous digester operation.

Abstract: Operation of a cane preparation unit is disclosed which can include providing a working range for at least one operating variable for a plurality of carriers of a cane preparation unit, estimating energy consumed corresponding to a first plurality of set points for the at least one operating variable, selecting one or more first set points corresponding to reducing (e.g., minimizing) energy consumed for the at least one operating variable as use set points, and operating the cane preparation unit at the use set points.