Approach and system for handling constraints for measured disturbances with uncertain preview

A system for controlling subsystems of an engine, comprising:

• a vehicle having an engine;
• one or more subsystems associated with the engine;
• and
• a model predictive controller that provides model predictive control for the one or more subsystems to achieve prescribed performance while maintaining controlled variables within prescribed limits based on disturbance variables of the vehicle and the controlled variables;
• and
• wherein:
• the one or more subsystems have controlled variables to be maintained within a range of limits by the model predictive controller;
• the disturbance variables have uncertainties;
• the model predictive controller approximates uncertainties of selected disturbance variables on the prediction horizon and reduces an original prescribed range between limits on the selected disturbance variables over the prediction horizon based on measurements of the disturbance variables during operation of the vehicles;
• and
• the model predictive controller controls operation of the one or more subsystems associated with the engine based on the reduced range between limits for the selected variables.

A method for controlling subsystems of an engine, comprising:

• controlling one or more subsystems of an engine with model predictive controller to achieve prescribed performance while maintaining controlled variables within prescribed limits based on disturbance variables and the controlled variables;
• previewing uncertainties of disturbance variables of the one or more control subsystems over a prediction horizon in the model predictive controller;
• using the model predictive controller to adjust the one or more control subsystems based the disturbance variables of the control subsystems under conditions having initial constraints in an absence of the uncertainties of the disturbance variables over the prediction horizon;
• estimating an uncertainty range of the disturbance variables over the prediction horizon with the model predictive controller when the disturbance variables have uncertainties over the prediction horizon;
• offsetting the constraints of the disturbance variables by approximating uncertainties of the disturbance variables on the prediction horizon based on measurements of the disturbance variables during operation of the engine, and thus reducing an original range between limits on the disturbance variables on the prediction horizon;
• and
• adjusting, with the model predictive controller, the one or more control subsystems based on the offset constraints of the disturbance variables.