Methods and systems for managing power of an engine

1. A method for online power management of a turbine engine, said method comprising:

operating an engine control system on a first bandwidth;

filtering at least one data input from the engine control system to a second bandwidth;

receiving, by a power management system operating on the second bandwidth, the at least one filtered data input;

predicting an engine operating condition over a desired future horizon using the at least one filtered data input and a closed-loop dynamic engine model;

determining an optimal engine power management based on the prediction;

solving a constrained optimization for a desired optimization objective; and

outputting the optimal engine power management to the engine control system.

2. The method in accordance with claim 1 , wherein filtering at least a data input further comprises filtering at least one of a sensor input, an actuator position input, and an ambient condition input.

3. The method in accordance with claim 1 , further comprising determining a baseline engine power management using the at least one filtered data input.

4. The method in accordance with claim 3 , wherein predicting an engine operating condition further comprises predicting an engine operating condition using the determined baseline engine power management.

5. The method in accordance with claim 1 , wherein outputting the optimal engine power management further comprises outputting at least one of references, open-loop inputs, and constraint limits.

6. The method in accordance with claim 1 , wherein filtering further comprises approximating the at least one data input.

7. The method in accordance with claim 6 , wherein approximating further comprises approximating the at least one data input for a predetermined period of time.

8. A power management system for online power management of an engine, said power management system comprising:

a baseline power management component configured to receive at least one data input from an engine control system operating on a first bandwidth, wherein said baseline power management component is configured to operate on a second bandwidth; and

a model predictive control configured to:

predict an engine operating condition over a desired future horizon using the at least one data input and a closed-loop model of the engine;

determine an optimal engine power management based on the prediction;

solve a constrained optimization for a desired optimization objective; and

output the optimal engine power management.

9. The power management system in accordance with claim 8 , wherein said baseline power management component is further configured to determine a baseline engine power management using the at least one data input.

10. The power management system in accordance with claim 8 , wherein the at least one data input comprises at least one of a sensor input, an actuator position input, and an ambient condition input.

11. The power management system in accordance with claim 8 , wherein said model predictive control is further configured to predict an engine operating condition over a future horizon using the determined baseline engine power management and a closed-loop engine model.

12. A power management system in accordance with claim 8 , wherein the optimal engine power management further comprises at least one of references, open-loop inputs, and constraint limits.

13. The power management system in accordance with claim 8 , wherein said baseline power management component is further configured to receive at least one data input filtered by a low pass filter.

14. A gas turbine engine for use in an aircraft, said gas turbine engine comprising:

at least one sensor configured to sense an engine parameter and to generate a sensor input representing the engine parameter;

an engine control system operating on a first bandwidth and configured to control said gas turbine engine; and

a power management system for online power management of said gas turbine engine, said power management system comprising:

a baseline power management component configured to operate on a second bandwidth and to receive at least one data input from the engine control system; and

a model predictive control configured to:

predict an engine operating condition over a future horizon using the at least one data input and a closed-loop engine model;

determine an optimal engine control based on the prediction;

solve a constrained optimization for a desired optimization objective; and

output the optimal engine power management.

15. The gas turbine engine in accordance with claim 14 , wherein said engine control system is configured to control said gas turbine engine using the optimal engine power management.

16. The gas turbine engine in accordance with claim 14 , wherein said at least one sensor is at least one of a temperature sensor, a pressure sensor, a speed sensor, a torque sensor, a flow sensor, an ambient condition sensor, and an actuator position sensor.

17. The gas turbine engine in accordance with claim 14 , wherein said at least one sensor and said engine control system operate in a closed-loop the first bandwidth.

18. The gas turbine engine in accordance with claim 17 , wherein said power management system operates on the second bandwidth.

19. The gas turbine engine in accordance with claim 18 , further comprising at least one low pass filter configured to approximate sensor input from the first bandwidth to the second bandwidth.

20. The gas turbine engine in accordance with claim 14 , wherein the optimal engine power management further comprises at least one of references, open-loop inputs, and constraint limits.