Abstract: A predictive control system for automatic operation of a plant includes controllable equipment and a predictive controller. The predictive controller is configured to use a predictive model to predict values of controlled variables predicted to result from operating the controllable equipment in accordance with corresponding values of manipulated variables, use the values of the controlled variables predicted by the predictive model to evaluate an objective function that defines a control objective as a function of at least the controlled variables, perform a predictive optimization process to generate optimal values of the manipulated variables for a plurality of time steps in an optimization period using the predictive model and the objective function, and operate the controllable equipment by providing the controllable equipment with control signals based on the optimal values of the manipulated variables generated by performing the predictive optimization process.

Abstract: A predictive control system for automatic operation of a plant includes controllable equipment and a predictive controller. The predictive controller is configured to use a predictive model to predict values of controlled variables predicted to result from operating the controllable equipment in accordance with corresponding values of manipulated variables, use the values of the controlled variables predicted by the predictive model to evaluate an objective function that defines a control objective as a function of at least the controlled variables, perform a predictive optimization process to generate optimal values of the manipulated variables for a plurality of time steps in an optimization period using the predictive model and the objective function, and operate the controllable equipment by providing the controllable equipment with control signals based on the optimal values of the manipulated variables generated by performing the predictive optimization process.

Abstract: A control system for automatic operation of a hydrocracking unit is shown. The control system includes a control device operable to affect at least one of a yield or a product quality of one or more output oil products provided as outputs of the hydrocracking unit. The control system further includes a controller configured to obtain an objective function that quantifies a value of operating the hydrocracking unit as a function of at least one of the yield or the product quality of the one or more output oil products, use a neural network model to generate a target control device setpoint predicted to optimize the objective function when the hydrocracking unit operates at the target control device setpoint, and operate the control device using the target control device setpoint to modulate at least one of the yield or the product quality of the one or more output oil products.

Abstract: A control system for automatic operation of a hydrocracking unit is shown. The control system includes a control device operable to affect at least one of a yield or a product quality of one or more output oil products provided as outputs of the hydrocracking unit. The control system further includes a controller configured to obtain an objective function that quantifies a value of operating the hydrocracking unit as a function of at least one of the yield or the product quality of the one or more output oil products, use a neural network model to generate a target control device setpoint predicted to optimize the objective function when the hydrocracking unit operates at the target control device setpoint, and operate the control device using the target control device setpoint to modulate at least one of the yield or the product quality of the one or more output oil products.