Embedded optimization algorithm of parameters to drive deployment mechanism for displays

• US 10,520,728 B2
• Filed: 10/17/2017
• Issued: 12/31/2019
• Est. Priority Date: 10/17/2017
• Status: Active Grant

• Current Assignee: Visteon Global Technologies Incorporated (Visteon Corporation)
• Original Assignee: Visteon Global Technologies Incorporated (Visteon Corporation)
• Inventors: Fevre, Eric Francois
• Primary Examiner(s): Eurice, Michael J
• Application Number:
  US15/785,783
• Publication Number:
  US 20190113750A1
• Time in Patent Office: 805 Days
• CPC Class Codes: B60K 35/10 Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor
• CPC Class Codes: B60K 35/23 Head-up displays [HUD] optical aspects of head-up displays G02B27/01
• CPC Class Codes: B60K 35/233 controlling the size or position in display areas of virtual images depending on the condition of the vehicle or the driver
• CPC Class Codes: B60R 11/0264 for control means
• CPC Class Codes: B60R 2011/0082 collapsible, e.g. for storing after use
• CPC Class Codes: B60R 2011/0085 with adjustment by rotation in their operational position
• CPC Class Codes: G01P 1/04 Special adaptations of driving means
• CPC Class Codes: G02B 2027/014 comprising information/image processing systems
• CPC Class Codes: G02B 2027/0159 with mechanical means other than scaning means for positioning the whole image
• CPC Class Codes: G02B 2027/0163 Electric or electronic control thereof
• CPC Class Codes: G02B 27/0093 with means for monitoring data relating to the user, e.g. head-tracking, eye-tracking
• CPC Class Codes: G02B 27/01 Head-up displays
• CPC Class Codes: G02B 27/0149 characterised by mechanical features G02B27/0176 takes precedence
• CPC Class Codes: G05B 11/42 for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G06F 3/012 Head tracking input arrangements
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G09G 2380/10 Automotive applications
• CPC Class Codes: H02P 21/13 Observer control, e.g. using Luenberger observers or Kalman filters
• CPC Class Codes: H02P 21/14 : Estimation or adaptation of machine parameters, e.g. flux, current or voltage
• CPC Class Codes: H02P 21/18 : Estimation of position or speed
• CPC Class Codes: H02P 23/14 : Estimation or adaptation of motor parameters, e.g. rotor time constant, flux, speed, current or voltage
• CPC Class Codes: H02P 27/045 : whereby the speed is regulated by measuring the motor speed and comparing it with a given physical value
• CPC Class Codes: H02P 29/00 : Arrangements for regulating or controlling electric motors, appropriate for both AC and DC motors arrangements for starting electric motors H02P1/00; arrangements for stopping or slowing electric motors H02P3/00; control of motors that can be connected to two or more different electric power supplies H02P4/00; regulating or controlling the speed or torque of two or more electric motors H02P5/00; vector control H02P21/00
• CPC Class Codes: H02P 8/14 : Arrangements for controlling speed or speed and torque H02P8/12, H02P8/22 take precedence

Abstract

A deployment system for a device of a vehicle is described. The deployment system includes a non-transitory computer readable medium to store instructions of the deployment system and a processor configured to execute the instructions. The processor is configured to deploy the device using a parameter, determine a Mean Square Error (MSE), and run a Statistical Process Control (SPC) test on the MSE. The processor is further configured to determine that no special event is present and process a new parameter using the parameter and the SPC test results. An evolutionary operation (EVOP) algorithm is also used to calculate the new parameter.

Claims

1. A deployment system for a display of a vehicle, comprising:

a non-transitory computer readable medium to store instructions of the deployment system; and

a processor configured to execute the instructions, the processor being configured to;

deploy the display using a parameter, wherein the parameter includes at least a deployment speed of the display;

determine a Mean Square Error (MSE);

run a Statistical Process Control (SPC) test on the MSE, wherein the SPC test run on the MSE includes using an exponentially weighted moving average (EWMA) method to generate SPC test results;

determine that no special event is present based upon the SPC test results on the MSE; and

process a new parameter using the parameter and the SPC test results to deploy the display using the new parameter.

2. The deployment system of claim 1, wherein the processor is further configured to:

determine that a special event is present based upon the SPC test results on the MSE; and

repeat deployment of the display using the parameter.

3. The deployment system of claim 1, wherein the processor is further configured to:

initiate a default parameter;

deploy the display using the default parameter; and

process the new parameter using the default parameter and the SPC test results to deploy the display using the new parameter.

4. The deployment system of claim 1, wherein processing the new parameter using the parameter and the SPC test results includes using an evolutionary operation (EVOP) algorithm to calculate the new parameter.

5. The deployment system of claim 1, wherein the display is a head-up display (HUD).

6. The deployment system of claim 1, wherein the deployment mechanism further comprises a motor for deploying the display.

7. The deployment system of claim 1, further comprising:

a sensor to capture at least one of an actual speed of deploying the display and an actual position of the display.

8. The deployment system of claim 7, wherein the processor is further configured to determine the MSE using at least one of the actual speed of deploying the display versus a target speed of deploying the display and the actual position of the display versus a target position of the display.

9. A deployment system for a display of a vehicle, comprising:

a microprocessor coupled to the display, the microprocessor being configured to execute instructions stored on a non-transitory computer readable medium; and

a sensor coupled to the microprocessor and configured to identify the environment surrounding the deployment system;

wherein the microprocessor is further configured to;

initiate a target parameter for deployment of the display to optimize the position of the display for an occupant of the vehicle, wherein the target parameter includes at least a target speed of the display;

deploy the display using the target parameter;

measure an actual parameter of the display during deployment wherein the actual parameter includes at least an actual speed of the display;

compute a Mean Square Error (MSE) using the target parameter and the actual parameter; and

determine a new parameter for deployment of the display using the MSE,

wherein the microprocessor is further configured to use an evolutionary operation (EVOP) algorithm and a Statistical Process Control (SPC) test to determine the new parameter.

10. The deployment system of claim 9, wherein the actual parameter further comprises at least one of the actual speed of the display and the actual position of the display.

11. The deployment system of claim 9, wherein the identification of the environment surrounding the deployment system includes identification of at least one of mechanical constraints and vibrations of the display.

12. The deployment system of claim 9, wherein the deployment mechanism further comprises a motor for deploying the display.

13. The deployment system of claim 9, wherein the processor is further configured to determine the MSE using at least one of the actual speed of deploying the display versus a target speed of deploying the display and the actual position of the display versus a target position of the display.

14. A method for deploying a display, comprising:

performing deployment of the display using a parameter, wherein the parameter includes at least a speed of deployment of the display;

determining a Mean Square Error (MSE);

running a Statistical Process Control (SPC) test on the MSE to generate SPC test results;

determining that no special event is present based upon the SPC test results on the MSE; and

processing a new parameter for deploying the display using the parameter and the SPC test results.

15. The method of claim 14, wherein the running the SPC test on the MSE includes using an exponentially weighted moving average (EWMA) method.

16. The method of claim 14, further comprising:

determining that a special event is present; and

repeating deployment of the display using the parameter and the SPC test results on the MSE.

17. The method of claim 14, further comprising:

initiating a default parameter, wherein the default parameter includes at least one of a target speed of the display and a target position of the display;

performing deployment of the display using the default parameter; and

processing the new parameter for deploying the display using the default parameter and the SPC test results on the MSE.

18. The method of claim 14, wherein processing a new parameter for deploying the display using the parameter and the SPC test results includes using an evolutionary operation (EVOP) algorithm to calculate the new parameter.

19. The method of claim 14, wherein determining the MSE calculates an actual speed of deploying the display versus a target speed of deploying the display.

20. The method of claim 14, wherein determining the MSE calculates an actual position of the display versus a target position of deploying the display.