IP Library Granted Patent US 10,240,544
Granted Patent B2
US 10,240,544 · App. 15/336,534 · Granted Mar 26, 2019

Adaptive controller using unmeasured operating parameter

Inventors: Robert J. Zeller (Noblesville, IN); Curtis Harvey Cline (Brownsburg, IN); Michael P. Dougherty (Indianapolis, IN); Richard Joseph Skertic (Carmel, IN)
Assignees: Rolls-Royce Corporation; Rolls-Royce North American Technologies, Inc.
F02D41/1402F02C9/00F02D41/1406G05B13/041F02D2041/1433F05D2260/821
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Quick Facts
Patent No.
US 10,240,544
App. No.
15/336,534
Granted
Mar 26, 2019
Kind
B2
Abstract

The disclosure includes a system that includes a real-time engine model module and an adaptive control module. The real-time engine model module is configured to determine an engine parameter estimate signal based on at least one feedback signal indicative of an operating parameter of an engine. The adaptive control module is configured to receive a power request signal and receive, from the real real-time engine model module, the engine parameter estimate signal. The adaptive control module is further configured to determine a power demand signal based on the power request signal and the engine parameter estimate signal, wherein the adaptive control module is configured to determine the power demand signal based on the power request signal using a set of control laws. The adaptive control module is further configured to output the power demand signal to control at least one component of the engine.

Claims (78)

1. A method, comprising:

receiving, by a real-time engine model module, at least one feedback signal indicative of a measured operating parameter of an engine;

determining, by the real-time engine model module, an engine parameter estimate signal based on the at least one feedback signal, wherein the engine parameter estimate signal represents an unmeasured operating parameter of the engine, different from the measured operating parameter of the engine;

receiving, by an adaptive control module, a power request signal;

receiving, by the adaptive control module, from the real-time engine model module, the engine parameter estimate signal;

determining, by the adaptive control module, using a set of control laws, a demand signal based on inputs including the power request signal and the engine parameter estimate signal; and

outputting, by the adaptive control module, the demand signal to control at least one component of the engine.

2. The method of claim 1 , further comprising:

receiving, by a comparator, from a performance adaptation control module, a trim signal, wherein the trim signal is based on an adaptation mode signal, a system state signal, and an iteration algorithm;

receiving, by the comparator, the demand signal;

determining, by the comparator, a trimmed demand signal based on the trim signal and the demand signal; and

outputting, by the comparator, the trimmed demand signal to control at least one component of the engine.

3. The method of claim 2 , further comprising:

receiving, by the performance adaptation control module, the adaptation mode signal representing an adaptation mode according to which the iteration algorithm is configured;

receiving, by the performance adaptation control module, the system state signal representing one or more propulsion or non-propulsion system components affecting at least one of power produced by the engine or power extracted from the engine; and

determining, by the performance adaptation control module, the trim signal based on the adaptation mode signal and the system state signal.

4. The method of claim 3 , wherein the performance adaptation control module comprises a steady-state detection module, the method further comprising:

determining, by the steady-state detection module, based on the system state signal, whether the engine is operating in a steady state; and

in response to determining that the engine is operating in the steady state, outputting, by the performance adaptation control module and to the comparator, the trim signal.

5. The method of claim 1 , further comprising determining, by the real-time engine model module, using an adaptive engine model, the engine parameter estimate signal based on an actuator signal and an engine state trajectory signal representative of the measured operating parameter of the engine.

6. The method of claim 5 , further comprising:

tracking, by the real-time engine model module, the engine parameter estimate signal and the engine state trajectory signal; and

updating, by the real-time engine model module, the adaptive engine model based on the tracked engine parameter estimate signal and the engine state trajectory signal.

7. The method of claim 1 , wherein the adaptive control module comprises a schedule module, a closed-loop reference model module, an adaptation module, and a control module, the method further comprising:

determining, by the schedule module, a demand setpoint based on the power request signal using a schedule;

determining, by the closed-loop reference model module, a reference control signal based on the demand setpoint;

determining, by the adaptation module, an adaptation signal based on a difference between a reference parameter trajectory signal output by the closed-loop reference model module and an engine parameter estimate signal representing an unmeasured engine parameter; and

determining, by the control module, the demand signal based on the reference control signal and the adaptation signal.

8. The method of claim 7 , wherein the demand signal is a first demand signal, and further comprising:

receiving, by loop selection logic, the first demand signal, wherein the first demand signal represents one of steady-state, transient, and limit protection operation;

receiving, by the loop selection logic, a second demand signal, wherein the second demand signal represents another one of steady-state, transient, and limit protection operation;

selecting, by the loop selection logic, the first demand signal or the second demand signal; and

outputting, by the loop selection logic, the first demand signal or the second demand signal.

9. The method of claim 8 , further comprising modifying at least one of the schedule, the demand setpoint, the set of control laws, and the loop selection logic based on an operational mode.

10. The method of claim 1 , further comprising adapting the set of control laws based on the engine parameter estimate signal.

11. A system, comprising:

a real-time engine model module configured to:

receive at least one feedback signal indicative of a measured operating parameter of an engine;

determine an engine parameter estimate signal based on the at least one feedback signal indicative of the measured operating parameter of the engine, wherein the engine parameter estimate signal represents an unmeasured operating parameter of the engine, different from the measured operating parameter of the engine; and

an adaptive control module configured to:

receive a power request signal;

receive, from the real-time engine model module, the engine parameter estimate signal;

determine a demand signal based on the power request signal and the engine parameter estimate signal, wherein the adaptive control module is configured to determine the demand signal based on the power request signal and the engine parameter estimate signal using a set of control laws; and

output the demand signal to control at least one component of the engine.

12. The system of claim 11 , further comprising a comparator configured to:

receive, from a performance adaptation control module, a trim signal, wherein the trim signal is based on an adaptation mode signal, a system state signal, and an iteration algorithm;

receive the demand signal;

determine a trimmed demand signal based on the trim signal and the demand signal; and

output the trimmed demand signal to control at least one component of the engine.

13. The system of claim 11 , further comprising the performance adaptation control module configured to:

receive the adaptation mode signal representing an adaptation mode according to which the iteration algorithm is configured;

receive the system state signal representing one or more propulsion or non-propulsion system components affecting at least one of power produced by the engine or power extracted from the engine; and

determine the trim signal based on the adaptation mode signal and the system state signal.

14. The system of claim 13 , wherein the performance adaptation control module further comprises a steady-state detection module configured to:

determine, based on the system state signal, whether the engine is operating in a steady-state; and

in response to determining that the engine is operating in the steady-state, cause the trim signal to be output to the comparator.

15. The system of claim 11 , wherein the real-time engine model module is further configured to determine, using an adaptive engine model, the engine parameter estimate signal based on an actuator signal and an engine state trajectory signal representative of the measured operating parameter of the engine.

16. The system of claim 15 , wherein the real-time engine model module is further configured to:

track the engine parameter estimate signal and the engine state trajectory signal; and

update the adaptive engine model based on the tracked engine parameter estimate signal and the engine state trajectory signal.

17. The system of claim 11 , wherein the adaptive control module further comprises:

a schedule module configured to determine a demand setpoint based on the power request signal using a schedule;

a closed-loop reference model module configured to determine a reference control signal based on the demand setpoint and a reference parameter trajectory signal based on the reference control signal;

an adaptation module configured to determine an adaptation signal based on a difference between the reference parameter trajectory signal output by the closed-loop reference model module and the engine parameter estimate signal; and

a control module configured to determine the demand signal based on the adaptation signal and the reference control signal.

18. The system of claim 17 , wherein the demand signal is a first demand signal and the adaptive control module further comprises loop selection logic configured to:

receive the first demand signal, wherein the first demand signal represents one of steady-state, transient, and limit protection operation;

receive a second demand signal, wherein the second demand signal represents another one of steady-state, transient, and limit protection operation;

select the first demand signal or the second demand signal; and

output the first demand signal or the second demand signal.

19. The system of claim 18 , further comprising modifying at least one of the schedule, the demand setpoint, the set of control laws, and the loop selection logic based on an operational mode.

20. A computer-readable storage medium storing instructions that, when executed, cause a processor to:

receive, by a real-time engine model module, at least one feedback signal indicative of a measured operating parameter of an engine;

determine, by the real-time engine model module, an engine parameter estimate signal based on the at least one feedback signal indicative of a measured operating parameter of an engine, wherein the engine parameter estimate signal represents an unmeasured operating parameter of the engine, different from the measured operating parameter of the engine;

receive, by an adaptive control module, a power request signal;

receive, by the adaptive control module, from the real-time engine model module, the engine parameter estimate signal;

determine, by the adaptive control module, using a set of control laws, a demand signal based on the power request signal and the engine parameter estimate signal; and

output, by the adaptive control module, the demand signal to control at least one component of the engine.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2016
From: CLINE, CURTIS HARVEY; SKERTIC, RICHARD JOSEPH
To: ROLLS-ROYCE CORPORATION
Reel/Frame 040808/0109 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2016
From: ZELLER, ROBERT J.; DOUGHERTY, MICHAEL P.
To: ROLLS-ROYCE NORTH AMERICAN TECHNOLOGIES, INC.
Reel/Frame 040808/0117 →
Continuity (1)
Related Publication 20180119628A1 · May 3, 2018