Excel projectile trajectory

In summary, "Excel projectile trajectory" refers to using Microsoft Excel to model and analyze the motion of projectiles under the influence of gravity. It involves creating formulas to calculate key parameters such as initial velocity, launch angle, maximum height, range, and time of flight. Users can input different values to visualize and predict the paths of projectiles through graphs and charts, enhancing understanding of physics concepts related to motion.
  • #1
swemek
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Hello!

I'm doing some research for a small project that I hope you can help me with. I'm not a math genius, I just have an idea.

I have an Excel document of a projectile trajectory with an angle of 8 degrees. (Can be any angle.) Blue projectile trajectory.

What I want to do is enter the maximum height (green dashed line) and get a new angle. Red projectile trajectory. Calculated on a different tab.
I only tried my way up to the angle of 6.68 degrees.

Formulas used in Excel:
X-pos =B3+D3*t
Y-pos =C3+E3*t
X-Velocity =V0*COS(LA) =D3+H3*t
Y-Velocity =V0*SIN(LA) =E3+I3*t
X-Drag =-1/2*Dc*A*p*D3^2
Y-Drag =-1/2*Dc*A*p*E3^2
X-Accel =F3/m
Y-Accel =(G3+m*g)/m
Picture.png

Is this doable?

Hope you can help me.:smile:
Thanks in advance /M
 

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  • #2
swemek said:
X-Drag =-1/2*Dc*A*p*D3^2
Y-Drag =-1/2*Dc*A*p*E3^2
This won't work. Since drag is non-linear, you cannot split its calculation into X & Y components like that. You have to compute the total XY-speed, use that for total XY-drag, and split that in X & Y drag components.

As for your main question. You probably need something like this:
https://www.tutorialspoint.com/exce...a_analysis_optimization_with_excel_solver.htm
Decision Variable Cell : launch angle
Objective Cell (to be minimized) : (MAX(Y_POS) - TARGET_MAX_Y_POS)^2
 
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  • #3
A.T. said:
Objective Cell (to be minimized) : (MAX(Y_POS) - TARGET_MAX_Y_POS)^2
Is your recommendation of this rather than simply MAX(Y_POS) - TARGET_MAX_Y_POS based on experience?
 
  • #4
pbuk said:
Is your recommendation of this rather than simply MAX(Y_POS) - TARGET_MAX_Y_POS based on experience?
If you minimise the difference I would expect the optimizer to aim for max(y_pos) tending to negative infinity, since that minimises the value. If you minimise the squared difference the optimiser should aim for equality.
 
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  • #5
pbuk said:
Is your recommendation of this rather than simply MAX(Y_POS) - TARGET_MAX_Y_POS based on experience?
This won't work for the reason stated by @Ibix. One could try ABS(MAX(Y_POS) - TARGET_MAX_Y_POS), but squaring the difference is usually more numerically stable, because of the smooth 1st derivative.
 
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  • #6
A.T. said:
This won't work for the reason stated by @Ibix. One could try ABS(MAX(Y_POS) - TARGET_MAX_Y_POS), but squaring the difference is usually more numerically stable, because of the smooth 1st derivative.
Ah sorry, I should have been clearer.

In solving similar problems I have always solved for a difference of zero by using Data -> What-If Analysis -> Goal Seek.

I do this because I have always done it this way and I wondered if you had experience that showed any option within the Analysis Tool Pack was faster/more stable/more accurate precise.

In any case for the problem in the OP, using Goal Seek would be perfectly adequate.
 
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