Embedded optimization algorithm of parameters to drive deployment mechanism for displays

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.