초록 ▼

Systems and methods for enhancing aircraft performance are provided. In one example, a method can include accessing an initial model that defines operating cost of an aircraft at a series of model operating states. The method also can include identifying one or more sample operating states for analy

Systems and methods for enhancing aircraft performance are provided. In one example, a method can include accessing an initial model that defines operating cost of an aircraft at a series of model operating states. The method also can include identifying one or more sample operating states for analyzing aircraft cost during flight. The method also can include receiving one or more real-time flight performance parameters indicative of aircraft operating cost while the aircraft is operating at the identified sample operating states. The method also can include generating an updated model that defines operating cost of the aircraft using the initial model as well as data defined by the real-time flight performance parameters. The method also can include determining an enhanced operating state based at least in part on the updated model and outputting the enhanced operating state for control of the aircraft.

대표청구항 ▼

1. A computer-implemented method of enhancing aircraft performance, the method comprising: identifying, by at least one computing device, at least one sample operating state comprising at least one of airspeed or altitude, for analyzing an aircraft operational cost during a flight while an aircraft

1. A computer-implemented method of enhancing aircraft performance, the method comprising: identifying, by at least one computing device, at least one sample operating state comprising at least one of airspeed or altitude, for analyzing an aircraft operational cost during a flight while an aircraft is operating at the identified at least one sample operating state;receiving, by the at least one computing device, at least one real-time flight performance parameter indicative of the aircraft operational cost while the aircraft is operating during the flight, at the identified at least one sample operating state;generating during the flight, by the at least one computing device, an updated model that defines the aircraft operating cost of the aircraft, wherein the updated model is generated using data received by the at least one real-time flight performance parameter indicative of aircraft operating cost at the identified at least one sample operating state;determining during the flight, by the at least one computing device, an enhanced operating state based at least in part on the updated model; andcontrolling the aircraft, by the at least one computing device, in accordance with the enhanced operating state. 2. The computer-implemented method of claim 1, further comprising: accessing an initial model that defines operating cost of an aircraft at a series of model operating states;wherein the initial model includes an initial operating state at which aircraft operating cost is reduced according to the initial model, and wherein the sample operating states are selected from model operating points that are within a region of interest in the initial model at or near the initial operating state. 3. The computer-implemented method of claim 1, further comprising controlling, by a flight control system, the aircraft based at least in part on the enhanced operating state. 4. The computer-implemented method of claim 1, wherein outputting, by the at least one computing device, the enhanced operating state for control of the aircraft comprises providing the enhanced operating state for display on at least one display device. 5. The computer-implemented method of claim 1, wherein the at least one real-time flight performance parameter indicative of aircraft operating cost comprise parameters configured to estimate a quantity derived from a rate of fuel consumption. 6. The computer-implemented method of claim 1, wherein generating, by the at least one computing device, an updated model comprises approximating a function based at least in part on the data defined by the real-time flight performance parameters indicative of aircraft cost at the at least one identified sample operating state. 7. The computer-implemented method of claim 1, wherein generating, by the at least one computing device, an updated model comprises modeling the operating cost as a Gaussian process observed at data points corresponding to the at least one identified sample operating state. 8. The computer-implemented method of claim 1, wherein the at least one sample operating state is defined as different airspeeds at a given altitude. 9. The computer-implemented method of claim 1, further comprising: tracking, by the at least one computing device, a duration of time for which the at least one flight performance parameter indicative of aircraft operating cost are obtained while the aircraft is operating at or near the at least one identified sample operating state; anddetermining, by the at least one computing device, an expected uncertainty in estimated operating cost at the at least one identified sample operating state based at least in part on the duration of time for which the at least one flight performance parameter is obtained;wherein the determined expected uncertainty in estimated operating cost at the at least one identified sample operating state is used at least in part for generating the updated model. 10. A tangible, non-transitory computer-readable media storing computer-readable instructions that when executed by a processor cause the processor to perform operations, the operations comprising: accessing an initial model that defines an operating cost of an aircraft at a series of model operating states;identifying at least one sample operating state comprising at least one of airspeed or altitude, for analyzing aircraft the operating cost during flight while the aircraft is operating at the at least one identified sample operating state;receiving at least one real-time flight performance parameter indicative of the aircraft operating cost while the aircraft is operating at the at least one identified sample operating state;generating an updated model that defines the operating cost of the aircraft, wherein the updated model is generated using the initial model as well as data defined by the at least one real-time flight performance parameter indicative of aircraft operating cost at the at least one identified sample operating state;determining an enhanced operating state based at least in part on the updated model; andcontrolling the aircraft in accordance with the enhanced operating state. 11. The computer-readable media of claim 10, wherein the initial model includes an initial enhanced operating state at which aircraft operating cost is reduced according to the initial model, and wherein the sample operating states are selected from model operating points that are within a region of interest in the initial model at or near the initial enhanced operating state. 12. The computer-readable media of claim 10, wherein generating an updated model comprises approximating a function based at least in part on the data defined by the at least one real-time flight performance parameter indicative of aircraft cost at the at least one identified sample operating state. 13. The computer-readable media of claim 10, wherein generating an updated model comprises modeling the aircraft operating cost as a Gaussian process observed at data points corresponding to the at least one identified sample operating state. 14. An avionics system for enhancing aircraft performance, the avionics system comprising a processor and a memory device located on an aircraft, the memory device storing instructions that when executed by the processor cause the processor to perform operations, the operations comprising: accessing an initial model that defines an operating cost of an aircraft at a series of model operating states;identifying at least one sample operating state comprising at least one of airspeed or altitude, for analyzing aircraft cost during flight while the aircraft is operating at the at least one identified sample operating state;receiving at least one real-time flight performance parameter indicative of aircraft operating cost while the aircraft is operating at or near the at least one identified sample operating state;determining, while the aircraft is operating at the at least one identified sample operating state, an enhanced operating state based at least in part from the identified at least one sample operating state and the received at least one flight performance parameter; andautomatically controlling the aircraft, by the at least one computing device, in accordance with the enhanced operating state. 15. The avionics system of claim 14, wherein the model operating states comprise at least one of airspeed or altitude. 16. The avionics system of claim 14, wherein the at least one real-time flight performance parameter indicative of aircraft operating cost comprise parameters configured to estimate a quantity derived from a rate of fuel consumption. 17. The avionics system of claim 14, further comprising: generating an updated model that defines operating cost of the aircraft, wherein the updated model is generated using the initial model as well as data defined by the real-time flight performance parameters indicative of aircraft cost at the at least one identified sample operating state;wherein generating an updated model comprises approximating a function based at least in part on the data defined by the real-time flight performance parameters indicative of aircraft cost at the at least one identified sample operating state. 18. The avionics system of claim 17, wherein generating an updated model comprises modeling the operating cost as a Gaussian process observed at data points corresponding to the at least one identified sample operating state. 19. The avionics system of claim 14, wherein the initial model includes an initial enhanced operating state at which aircraft operating cost is reduced according to the initial model, and wherein the sample operating states are selected from model operating points that are within a region of interest in the initial model at or near the initial enhanced operating state.