摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.