SOLVING SECOND ORDER DIFFERENTIAL EQUATION USING PYTHON.
objective :to write a program that solves the following ODE. This ODE represents the equation of motion of a simple pendulum with damping.
SECOND ORDER EQUATION FOR MOTION:
d²θ/dt²+(b/m)(dθ/dt) +(g/L)sinθ=0
Consider dθ/dt=θ1
Thus dθ²/dt²=dθ1/dt
Eq : d²θ/dt²+(b/m)(dθ/dt) +(g/L)sinθ=0
Become dθ1/dt+(b/m)θ1+(g/L)sinθ=0
In the above equation,
g = gravity in m/s2,
L = length of the pendulum in m,
m = mass of the ball in kg,
b=damping coefficient.
Now we write a program in Matlab that will simulate the pendulum motion, just like the one shown in the start of this challenge.
we use input:
L=1 metre,
m=1 kg,
b=0.05.
g=9.81 m/s2.
we Simulate the motion between 0-20 sec, angular displacement=0,
angular velocity=3 rad/sec at time t=0.
PROGRAM FOR SIMULATION OF SIMPLE PENDULUM IN MOVIE FILE:
import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
import math
def model(theta,t,b,g,l,m):
theta1=theta[0]
theta2=theta[1]
dtheta1_dt=theta2
dtheta2_dt=-(b/m)*theta2-(g/l)*math.sin(theta1)
dtheta_dt=[dtheta1_dt,dtheta2_dt]
return dtheta_dt
b=0.02
g=9.81
l=1
m=0.1
#initial condition
theta_0=[math.pi/2,0]
#time points
t=np.linspace(0,10,32)
#solve ode
theta =odeint(model,theta_0,t,args=(b,g,l,m))
plt.plot(t,theta[:,0],'b')
plt.plot(t,theta[:,1],'r')
plt.ylabel('plot')
plt.xlabel('time')
plt.legend('best')
plt.grid()
plt.show()
x0=1;
y0=1;
ct=1;
cord = theta[:,0]
for i in np.length(theta[:,0]):
x1 = 1-l*math.sin(cord(i))
y1 = 1-l*math.cos(cord(i))
filename = str(ct)+'.png'; ct=ct+1
plt.figure()
plt.show()
plt.plot([1,x1],[1,y1],[x1,x1],[y1,y1])
plt.xlim([0,2])
plt.ylim([0,2])
plt.savefig(filename)
EXPLANATION:
1. we create array that store differential equation
2.function definition gives some attributes that Definevas function parameters.
3.the output of function is array storing solution attributes of equation.
OUTPUT MOVIE FILE:
CONCLUSION:
thus we obtain simulation of simple pendulum.
Here i use each png image and convert it into gif file.