Python Using Python to calculate projectile motion with resistance

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The discussion revolves around a programming issue related to calculating the trajectory of a projectile with air resistance. The user encounters an IndexError when the launch angle exceeds 1 radian, specifically when using angles greater than π/3, while angles less than or equal to π/3 work fine. The error indicates that the program is attempting to access an index in an array that is out of bounds, which is linked to the integration time being too short for the projectile to hit the ground within the defined time frame. A suggested solution is to extend the time axis to allow for a longer simulation period, which resolves the issue. The user confirms that increasing the time range successfully eliminates the error, allowing the program to function correctly.
Ryaners
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I'm trying to write a program to calculate the trajectory of a projectile with air resistance. I've made the following function which calculates the position of the particle based on a given launch angle and initial velocity:

Python:
def traj_fr(angle, v0):             #function that computes trajectory for some launch angle & velocity
    vx0 = math.cos(angle)*v0        #compute x components of starting velocity
    vy0 = math.sin(angle)*v0        #compute y components of starting velocity
    x = np.zeros(len(time))         #initialise x array
    y = np.zeros(len(time))         #initialise y array
  
    x[0],y[0] = 0,0     #initial position at t=0s, ie motion starts at (0,0)
    x[1],y[1] = x[0] + vx0*(2*dt), y[0]+vy0*(2*dt)  #calculating 2nd elements of x & y based on init velocity
  
    i=1
    while y[i]>=0:  #loop continuous until y becomes <0, ie projectile hits ground
        f = 0.5 * gamm * (h - y[i]) * dt        #intermediate 'function'; used in calculating x & y vals below
        x[i+1] = ((2*x[i]-x[i-1]) + (f * x[i-1])) / (1 + f)                 #numerical integration to find x[i+1]...
        y[i+1] = ((2*y[i]-y[i-1]) + (f * y[i-1]) - g*(dt**2) ) / (1 + f)      # ...& y[i+1]
        i = i+1     #increment i for next iteration
  
    x = x[0:i+1]        #truncate x array
    y = y[0:i+1]        #truncate y array
    return x, y, (dt*i), x[i]       #return x, y, flight time, range of projectile

For some reason I'm getting a traceback whenever the angle 'fed' to the function is greater than 1 radian. If I restrict the input angles to anything smaller than π/3, it works. It doesn't for π/2. I can't figure out why this is happening; I've written an almost-identical program to calculate trajectory without air resistance & π/2 isn't a problem for that. Can anyone shed a bit of light on this? This is the error I'm getting:

IndexError: index 10000 is out of bounds for axis 0 with size 1000

Here is the whole program, if that helps:

Python:
# -*- coding: utf-8 -*-

import matplotlib.pyplot as plt
import numpy as np
import math
import scipy.constants as const

g = const.g     #gravitation constant
dt = 1e-3       #integration time step (delta t)
v0 = 40         #initial speed at t=0

angle = math.pi / 4     #launch angle in radians
time = np.arange(0,10, dt)      #create time axis

gamm = 0.005    #gamma (used to compute f, below)
h = 100         #height (used to compute f, below)

def traj_fr(angle, v0):             #function that computes trajectory for some launch angle & velocity
    vx0 = math.cos(angle)*v0        #compute x components of starting velocity
    vy0 = math.sin(angle)*v0        #compute y components of starting velocity
    x = np.zeros(len(time))         #initialise x array
    y = np.zeros(len(time))         #initialise y array
  
    x[0],y[0] = 0,0     #initial position at t=0s, ie motion starts at (0,0)
    x[1],y[1] = x[0] + vx0*(2*dt), y[0]+vy0*(2*dt)  #calculating 2nd elements of x & y based on init velocity
  
    i=1
    while y[i]>=0:  #loop continuous until y becomes <0, ie projectile hits ground
        f = 0.5 * gamm * (h - y[i]) * dt        #intermediate 'function'; used in calculating x & y vals below
        x[i+1] = ((2*x[i]-x[i-1]) + (f * x[i-1])) / (1 + f)                 #numerical integration to find x[i+1]...
        y[i+1] = ((2*y[i]-y[i-1]) + (f * y[i-1]) - g*(dt**2) ) / (1 + f)      # ...& y[i+1]
        i = i+1     #increment i for next iteration
  
    x = x[0:i+1]        #truncate x array
    y = y[0:i+1]        #truncate y array
    return x, y, (dt*i), x[i]       #return x, y, flight time, range of projectile

x,y,duration,distance = traj_fr(angle,v0)   #define variables for output of traj_fr function

print 'Distance: ' , distance
print 'Duration: ' , duration

n = 5
angles = np.linspace(0, math.pi/2, n)   #generate array of n angles
print 'Angles: ' , angles
maxrange = np.zeros(n)                  #generate array of n elements to take range from traj_frfor i in range(n):      #loop to run angles through traj_fr function & populate maxrange array with distance results
    x,y,duration,maxrange[i] = traj_fr(angles[i], v0)

angles = angles / 2 / math.pi * 360       #convert radians to degrees
print 'Launch Angles: ', angles

print 'Optimum Angle: ', angles[np.where(maxrange==np.max(maxrange))]

plt.plot(x,y)       #quick plot of x vs y to check trajectory
plt.xlabel('x')
plt.ylabel('y')

I've been tearing my hair out over this for hours. I'm new to programming so this is probably a basic error I don't have the know-how to spot.

Thanks in advance!

Edit: Just to add - the air resistance is height-dependent.
 
Last edited:
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I ran a quick test on it; I believe the problem is that your integration time is too short - that is, the object has not hit the ground after 10 seconds. That is why the size of your position array is too small. Try increasing the range of your time axis.
 
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Fightfish said:
I ran a quick test on it; I believe the problem is that your integration time is too short - that is, the object has not hit the ground after 10 seconds. That is why the size of your position array is too small. Try increasing the range of your time axis.
Ahhh amazing, that's done it! Thank you so much! :)
 
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