Method for Controlling a Process

• US 20070185622A1
• Filed: 05/26/2004
• Published: 08/09/2007
• Est. Priority Date: 05/26/2003
• Status: Abandoned Application

• Current Assignee: Continental Teves AG & Co. OHG (Continental AG)
• Original Assignee: Continental Teves AG & Co. OHG (Continental AG)
• Inventors: Wanke, Peter
• Application Number:
  US10/558,449
• Publication Number:
  US 20070185622A1
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60T 2270/313 with less than three sensors (yaw rate, steering angle, lateral acceleration)
• CPC Class Codes: B60T 2270/413 Plausibility monitoring, cross check, redundancy
• CPC Class Codes: B60T 2270/86 Optimizing braking by using ESP vehicle or tire model
• CPC Class Codes: B60T 8/1755 Brake regulation specially adapted to control the stability of the vehicle, e.g. taking into account yaw rate or transverse acceleration in a curve road vehicle drive control systems for control of driving stability otherwise than by controlling a particular sub-unit B60W30/02

Abstract

Disclosed is a method for controlling a process according to which an actuation parameter is produced depending on a control deviation that is determined by comparing a nominal value with an actual value of a control variable. The method is characterized in that the actual value of the control variable is determined based on a first process model and a need for control (10) is additionally verified by determining control requirements (20, 30, 40) by way of values of the control variable, which are identified by additional process models and associated with each other by means of logical operations.

Claims

1-11. -11. (canceled)

12. A method for controlling a process comprising:

determining a control deviation by comparing a nominal value with an actual value of a control variable;

determining a need for control based on the determined control deviation;

determining an actual value of the control variable by way of a first process model; and

verifying the need for control by determining control requirements based on values of the control variable, wherein the control requirements are defined by way of additional process models and linked to each other by logical operations.

13. The method according to claim 12, wherein the additional process models are produced with various subsets of a multitude of measured variables.

14. The method according to claim 12, wherein a need for control (20) is found out only when there is a need for control (20, 30, 40) for the majority of the additional process models.

15. The method according to claim 12, wherein an unlimited control intervention due to the control deviation between the nominal value and the actual value is determined by way of the first process model is performed only when there is a need for control for all additional process models.

16. The method according to claim 12, wherein a control intervention with a reduced duration is performed unless a need for control exists for all additional process models.

17. The method according to claim 12, wherein a control intervention with a reduced intensity is performed when there is a need for control for all of the additional process models.

18. The method according to claim 12, wherein a control intervention is completely suppressed when there is no need for control for any one of the additional process models.

19. The method according to claim 12, wherein a value of an actuation parameter is modified depending on at least one value of the control variable determined by way of the additional process models.

20. The method according to claim 12, wherein the process concerns a yaw rate variation in a vehicle.

21. The method according to claim 12, wherein the control variable concerns a yaw rate of the vehicle.

22. The method according to claim 12, wherein a driving situation is determined where control of the driving stability is effected based on the logical operation of the values of the control variable determined by way of the partial models or based on the logical operation of the control variable values with predetermined limit values.