초록 ▼

Embodiments of the invention can provide systems and methods for initializing dynamic model states using a Kalman or similar type filter. In one embodiment, a system for controlling a gas turbine engine is provided. The system can include at least one sensor adapted to obtain dynamic-type informatio

Embodiments of the invention can provide systems and methods for initializing dynamic model states using a Kalman or similar type filter. In one embodiment, a system for controlling a gas turbine engine is provided. The system can include at least one sensor adapted to obtain dynamic-type information about a current state of the engine. The system can also include an engine model adapted to receive information from the sensor, and further adapted to reflect the current state of the engine. Furthermore, the system can include a model filter adapted to initialize the engine model with at least a portion of the dynamic-type information, wherein at least one value based at least in part on the filtered dynamic-type information is input to the engine model to determine an engine control action.

대표청구항 ▼

The claimed invention is: 1. A method for controlling a gas turbine engine, the method comprising: (i) obtaining dynamic-type information associated with a current state of an engine; and (ii) initializing an engine model with at least a portion of the dynamic-type information, wherein a Kalman fil

The claimed invention is: 1. A method for controlling a gas turbine engine, the method comprising: (i) obtaining dynamic-type information associated with a current state of an engine; and (ii) initializing an engine model with at least a portion of the dynamic-type information, wherein a Kalman filter is used to initialize the portion of the dynamic-type information, wherein at least one value based on the processed dynamic-type information is input to the engine model for determining an engine control action. 2. The method of claim 1, wherein the dynamic-type information comprises at least one of the following: a temperature, a pressure, a temperature difference between at least two points in the engine, exhaust temperature, or compressor exit temperature. 3. The method of claim 1, wherein obtaining dynamic-type information associated with a current state of an engine comprises obtaining information about at least one of: the engine, an engine component, an engine system, an engine system component, an engine control system, an engine control system component, a gas path in the engine, gas path dynamics, an actuator, an effector, a controlling device that modifies engine behavior, a sensor, a monitor, a sensing system, a fuel metering system, a fuel delivery system, a lubrication system, a hydraulic system, engine-to-engine variation, deterioration, a mechanical fault, an electrical fault, a chemical fault, a mechanical failure, an electrical failure, a chemical failure, mechanical damage, electrical damage, chemical damage, a system fault, a system failure, and system damage. 4. The method of claim 1, wherein the engine model comprises an adaptive real-time engine simulation model. 5. The method of claim 1, wherein initializing an engine model with at least a portion of the dynamic-type information comprises inputting at least one measured performance value to the engine model. 6. The method of claim 1, wherein the Kalman filter is dynamically configured during model execution. 7. The method of claim 1, further comprising: repeating steps (i) through (ii), wherein additional dynamic-type information is input to the engine model to improve engine control. 8. The method of claim 1, wherein the method is performed automatically by a computer. 9. A system for controlling a gas turbine engine, the system comprising: at least one sensor adapted to obtain dynamic-type information about a current state of the engine; an engine model adapted to receive information from the at least one sensor, and further adapted to reflect the current state of the engine; and a Kalman filter adapted to initialize the engine model with at least a portion of the dynamic-type information, wherein at least one value based on the processed dynamic-type information is input to the engine model to determine an engine control action. 10. The system of claim 9, wherein the dynamic-type information comprises at least one of the following: a temperature, a pressure, a temperature difference between at least two points in the engine, exhaust temperature, or compressor exit temperature. 11. The system of claim 9, wherein the dynamic-type information about a current state of the engine comprises information about at least one of: the engine, an engine component, an engine system, an engine system component, an engine control system, an engine control system component, a gas path in the engine, gas path dynamics, an actuator, an effector, a controlling device that modifies engine behavior, a sensor, a monitor, a sensing system, a fuel metering system, a fuel delivery system, a lubrication system, a hydraulic system, engine-to-engine variation, deterioration, a mechanical fault, an electrical fault, a chemical fault, a mechanical failure, an electrical failure, a chemical failure, mechanical damage, electrical damage, chemical damage, a system fault, a system failure, and system damage. 12. The system of claim 9, wherein the engine model comprises an adaptive real-time engine simulation model. 13. The system of claim 9, wherein the Kalman filter is dynamically configured during model execution. 14. The system of claim 9, wherein the at least one value based on the dynamic-type information comprises at least one measured performance value. 15. The system of claim 9, wherein additional dynamic-type information is input to the engine model to improve engine control. 16. The system of claim 9, wherein the model is automatically implemented by a computer. 17. A control system for a gas turbine engine, the control system comprising: a computer for implementing at least one engine model; at least one engine model adapted to represent performance of a the gas turbine engine; and at least one Kalman filter to initialize the model with filtered dynamic-type information; wherein the filtered dynamic-type information can facilitate at least one control command to the gas turbine engine. 18. The system of claim 17, wherein the filtered dynamic-type information comprises at least one of the following: a temperature, a pressure, a temperature difference between at least two points in the engine, exhaust temperature, or compressor exit temperature. 19. The system of claim 17, wherein the filtered dynamic-type information comprises information about at least one of: the engine, an engine component, an engine system, an engine system component, an engine control system, an engine control system component, a gas path in the engine, gas path dynamics, an actuator, an effector, a controlling device that modifies engine behavior, a sensor, a monitor, a sensing system, a fuel metering system, a fuel delivery system, a lubrication system, a hydraulic system, engine-to-engine variation, deterioration, a mechanical fault, an electrical fault, a chemical fault, a mechanical failure, an electrical failure, a chemical failure, mechanical damage, electrical damage, chemical damage, a system fault, a system failure, and system damage. 20. The system of claim 17, wherein the model comprises an adaptive real-time engine simulation model. 21. The system of claim 17, wherein additional dynamic-type information is input to the engine model to improve engine control. 22. The system of claim 17, wherein the Kalman filter is dynamically configured during model execution. 23. The system of claim 17, wherein the control system is automatically implemented by a computer.