Method and apparatus for diagnosis of sensors faults using adaptive fuzzy logic

• US 8,260,486 B2
• Filed: 02/01/2008
• Issued: 09/04/2012
• Est. Priority Date: 02/01/2008
• Status: Expired due to Fees

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Salman, Mutasim A., Quet, Pierre-Francois D.
• Primary Examiner(s): Black, Thomas
• Assistant Examiner(s): Nolan, Peter D
• Application Number:
  US12/024,143
• Publication Number:
  US 20090198408A1
• Time in Patent Office: 1,677 Days
• Field of Search: 701/29, 701/31, 701/33, 701/39, 701/44, 701/77, 706/1, 706/2, 706/4, 706/8, 706/52, 706/900
• US Class Current: 701/30.2
• CPC Class Codes: B60W 50/0205 Diagnosing or detecting failures; Failure detection models

Abstract

A method for monitoring the sensors in a vehicle control system. The method includes identifying a plurality of potential faults, identifying a plurality of measured values, and identifying a plurality of estimated values based on models in the control system. The method further includes identifying a plurality of residual error values as the difference between the estimated values and the measured values. The method also defines a plurality of fuzzy logic membership functions for each residual error value. The fuzzy logic membership functions are adaptive in that they change depending on the vehicle operating region, i.e., the non-linearity level of the vehicle, and the vehicle operating conditions, i.e., steady state verses transients. A degree of membership value is determined for each residual error value based on the membership functions. The degree of membership values are then analyzed in a fuzzy logic reasoning system to determine whether a potential fault exists.

Claims

1. A method for detecting faults in a vehicle control system, said method comprising:

identifying a plurality of potential faults;

identifying a plurality of measured values in the control system;

identifying a plurality of estimated values based on models in the control system;

identifying a plurality of residual error values as the difference between the estimated values and the measured values;

identifying a plurality of vehicle operation regions and/or vehicle operating conditions;

defining a plurality of membership functions for each residual error value where the membership functions are adapted based on a current vehicle operating region and/or vehicle operating conditions from the plurality of vehicle operation regions and/or vehicle operating conditions;

determining a degree of membership value for each residual error value based on the membership functions; and

determining whether a fault exists by analyzing the degree of membership values.

2. The method according to claim 1 wherein the current vehicle operating region is determined by a lateral acceleration of the vehicle and the current vehicle operating conditions are determined by a yaw acceleration of the vehicle.

3. The method according to claim 2 wherein defining a plurality of membership functions includes performing various vehicle tests without any faults where the tests include different vehicle maneuvers at different speeds on different road surfaces with different conditions, recording values of the residual error values with the lateral acceleration and yaw acceleration of the vehicle, determining whether the lateral acceleration and the yaw acceleration for each instant in time falls into a predetermined block, and comparing the corresponding residual value with the other residual values to data that also falls in the same block.

4. The method according to claim 1 wherein identifying a plurality of potential faults includes identifying faults related to a lateral acceleration sensor, a yaw rate sensor, road wheel angle sensors and wheel speed sensors.

5. The method according to claim 1 wherein identifying a plurality of measured values includes identifying a vehicle yaw rate, a vehicle lateral acceleration and a road wheel angle difference between a front wheel of the vehicle and a rear wheel of the vehicle.

6. The method according to claim 1 wherein identifying a plurality of residual error values includes defining four residual error values as a difference between a measured vehicle lateral acceleration signal and an estimated lateral acceleration signal, a measured yaw rate signal and an estimated yaw rate signal, a measured road wheel angle difference and an estimated road wheel angle difference and a combined signal for all of the vehicle wheel speeds and other values.

7. The method according to claim 1 wherein defining a plurality of membership functions includes defining at least three membership functions for each residual error value.

8. The method according to claim 1 wherein determining a degree of membership value for each residual error value includes assigning one of the degree of membership values to each residual for each potential fault.

9. The method according to claim 1 wherein determining whether a fault exists includes determining whether a particular set of degree of membership values exceeds a predetermined threshold in a certain pattern.

10. The method according to claim 1 further comprising putting the vehicle in a fail-safe mode of operation if a fault is detected.

11. A method for detecting a fault in a vehicle control system, said method comprising:

identifying a plurality of potential faults;

identifying a plurality of measured values in the control system;

identifying a plurality of estimated values based on models in the control system;

identifying a plurality of residual error values as the difference between the estimated values and the measured values;

identifying a plurality of vehicle operation regions and/or vehicle operating conditions;

defining at least three membership functions for each residual error value where the membership functions are changed in response to changes of a current vehicle operating region and/or vehicle operating conditions from the plurality of vehicle operation regions and/or vehicle operating conditions;

determining a degree of membership value for each residual error value including assigning one of the degree of membership values to each residual for each potential fault; and

determining whether a fault exists by analyzing the degree of membership values, wherein determining whether a fault exists includes determining whether a particular set of degree of membership values exceeds a predetermined threshold in a certain pattern.

12. The method according to claim 11 wherein the current vehicle operating region is determined by a lateral acceleration of the vehicle and the current vehicle operating conditions are determined by a yaw acceleration of the vehicle.

13. The method according to claim 12 wherein defining a plurality of membership functions includes performing various vehicle tests without any faults where the tests include different vehicle maneuvers at different speeds on different road surfaces with different conditions, recording values of the residual error values with the lateral acceleration and yaw acceleration of the vehicle, determining whether the lateral acceleration and the yaw acceleration for each instant in time falls into a predetermined block, and comparing the corresponding residual value with the other residual values to data that also falls in the same block.

14. The method according to claim 11 wherein identifying a plurality of potential faults includes identifying faults related to a lateral acceleration sensor, a yaw rate sensor, road wheel angle sensors and wheel speed sensors.

15. The method according to claim 14 wherein identifying a plurality of measured values includes identifying a vehicle yaw rate, a vehicle lateral acceleration and a road wheel angle difference between a front wheel of the vehicle and a rear wheel of the vehicle.

16. The method according to claim 15 wherein identifying a plurality of residual error values includes defining four residual error values as a difference between a measured vehicle lateral acceleration signal and an estimated lateral acceleration signal, a measured yaw rate signal and an estimated yaw rate signal, a measured road wheel angle difference and an estimated road wheel angle difference and a combined signal for all of the vehicle wheel speeds and other values.

17. A system for detecting a fault in a vehicle control system, said system comprising:

means for identifying a plurality of potential faults;

means for identifying a plurality of measured values in the control system;

means for identifying a plurality of estimated values based on models in the control system;

means for identifying a plurality of residual error values as the difference between the estimated values and the measured values;

means for identifying a plurality of vehicle operation regions and/or vehicle operating conditions;

means for defining a plurality of degree of membership functions for each residual error value where the membership functions are adapted based on current vehicle operating region and/or vehicle operating conditions from the plurality of vehicle operating regions and/or vehicle operating conditions;

means for determining a degree of membership value for each residual error value based on the membership functions; and

means for determining whether a fault exists by analyzing the degree of membership values.

18. The system according to claim 17 wherein the current vehicle operating region is determined by a lateral acceleration of the vehicle and the current vehicle operating conditions are determined by a yaw acceleration of the vehicle.

19. The system according to claim 18 wherein the means for defining a plurality of membership functions includes means for performing various vehicle tests without any faults where the tests include different vehicle maneuvers at different speeds on different road surfaces with different conditions, means for recording values of the residual error values with the lateral acceleration and yaw acceleration of the vehicle, means for determining whether the lateral acceleration and the yaw acceleration for each instant in time falls into a predetermined block, and means for comparing the corresponding residual value with the other residual values to data that also falls in the same block.

20. The system according to claim 17 wherein the means for identifying a plurality of potential faults includes means for identifying faults related to a lateral acceleration sensor, a yaw rate sensor, road wheel angle sensors and wheel speed sensors.

21. The system according to claim 17 wherein the means for identifying a plurality of measured values includes means for identifying a vehicle yaw rate, a vehicle lateral acceleration and a road wheel angle difference between a front wheel of the vehicle and a rear wheel of the vehicle.

22. The system according to claim 17 wherein the means for identifying a plurality of residual error values includes means for defining four residual error values as a difference between a measured vehicle lateral acceleration signal and an estimated lateral acceleration signal, a measured yaw rate signal and an estimated yaw rate signal, a measured road wheel angle difference and an estimated road wheel angle difference and a combined signal for all of the vehicle wheel speeds and other values.

23. The system according to claim 17 wherein the means for determining a membership value for each residual error value includes means for assigning one of the degree of membership values to each residual for each potential fault.

24. The system according to claim 17 wherein the means for determining whether a fault exists includes means for determining whether a particular set of degree of membership values exceeds a predetermined threshold in a certain pattern.

25. The system according to claim 17 further comprising means for putting the vehicle in a fail-safe mode of operation if a fault is detected.