Optimization of model parameters

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Christo van Rensburg 2019-10-9

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评论： Christo van Rensburg 2019-10-9

Hi

I'm busy trying to optimize a model that predicts the trajectory of a projectile. I have two parameters that needs to be optimized, drag coefficient and a compensation factor (Kv).

I'm comparing the ground height, maximum height reached and chronograph velocity of the model to that obtained during experiments. I need to reduce the %error between these three parameters as much as possible. I considered using "fminsearch" but cannot see how this wil work.

Any advice on how I would proceed with this and where to start instead of manually iterating the model?

Thanks in advance.

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Answer 1

Stephan 2019-10-9

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编辑：Stephan 2019-10-9

Since you have measured values and you have an equation you should use lsqcurvefit to estimate the parameters. You find examples how to do this in the linked documentation site.