Optimization of model parameters

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.

Answer 1

[Stephan]

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.

[Christo van Rensburg]

Hi Stephan

I will have a look at it thanks!