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Optimization questions

  • January 10, 2021
  • 1 reply
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A

Hi

I am looking for a way to optimize in the following manner:

Using the non-sequential editor, I have positioned four sources in a square configuration with variable power settings, and a number of rectangular detectors at stepped distances from the sources.  The furthest detector is object number 17.

For the sake of argument, let's say that the detector shows a minimum flux of 0 and a maximum of 1.0E-04

I want to optimize the power settings on the lamp so that I can get a minimum flux of 1.0E-09 and a maximum of 1.0E-05, and an even distribution of power settings for the sources.

I have tried to use the 'spatial uniformity' wizard to get this.

The wizard and the grid are as below.

I have let this run to completion, but it seems to leave one of the sources at very high power, while reducing the power in the other three.

All I am looking for is a way of adjusting the source power in all ources evenly so that the flux is in between a minimum and a maximum,

Is there a way of doing this?

Thanks in advance

 

 

Best answer by Sandrine Auriol

Hello Adrian,

If the sources have the same power, you could just set the power of one source as a variable and use a pick-up solve on the other sources. The power of the other sources will just pick-up the source power.

You can then optimize and that would give you a starting point.

Then you can then for example set all the sources power as variables and add constraints so that the optimization does not go to an unwanted solution:

Let us know if that helps and do not hesitate if you have any follow-up questions.

Sandrine

 

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Hello Adrian,

If the sources have the same power, you could just set the power of one source as a variable and use a pick-up solve on the other sources. The power of the other sources will just pick-up the source power.

You can then optimize and that would give you a starting point.

Then you can then for example set all the sources power as variables and add constraints so that the optimization does not go to an unwanted solution:

Let us know if that helps and do not hesitate if you have any follow-up questions.

Sandrine

 

Sandrine Auriol
Thomas Magnac
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  • Thomas Magnac
    Thomas Magnac

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