I have seen the great tutorial by Peter Colling Ridge on
http://www.petercollingridge.co.uk/pygame-physics-simulation/
and I am extending the PyParticles script
The code is available on the site(for free), I am using PyParticles4.py
The Particle Class
Circular 2d objects with radius,mass,velocity,location
The Spring Class
A spring that binds 2 objects (Particles) and uses the Hooke's law (F = -kx) to determine the interaction between them
The Environment Class
The Environment where the Particles interact
I was wondering if I could to use 2 Particles and make a 'Rod' class (like the Spring class in the tutorial) that had a specific length and didn't allow the particles to come closer go further than that (specified) length.
Also,
Appling a force (when needed) to each Particle such that if one is pulled toward the left, so does the other, but Realistically..
Much like if a 2 different types of balls were joined(from the center) using a steel rod, but in 2-d..
And I don't want to use 3rd party modules
Thanks in advance..
EDIT/UPDATE:
Tried to apply constraint theorem (it failed)
Here's the code:
class Rod:
def __init__(self, p1, p2, length=50):
self.p1 = p1
self.p2 = p2
self.length = length
def update(self):
'Updates The Rod and Particles'
# Temp store of co-ords of Particles involved
x1 = self.p1.x
x2 = self.p2.x
###### Same for Y #######
y1 = self.p1.y
y2 = self.p2.y
# Calculation of d1,d2,d3 and final values (x2,y2)
# from currently known values(x1,y1)...
# From Constraint algorithm(see @HristoIliev's comment)
dx1 = x2 - x1
dy1 = y2 - y1
# the d1, d2, d3
d1 = math.hypot(dx1,dy1)
d2 = abs(d1)
d3 = (d2-self.length)/d2
x1 = x1 + 0.5*d1*d3
x2 = x2 - 0.5*d1*d3
y1 = y1 + 0.5*d1*d3
y2 = y1 - 0.5*d1*d3
# Reassign next positions
self.p1.x = x1
self.p2.x = x2
###### Same for Y #######
self.p1.y = y1
self.p2.y = y2
In this tutorial, you'll learn how to use Python's simpy framework to create virtual simulations that will help you solve problems like these. In this tutorial, you'll learn how to: Use a simulation to model a real-world process. Create a step-by-step algorithm to approximate a complex system.
Python programming quantum mechanics (Schrödinger's) and many others are used to model simple or complicated phenomena. By using Python, we'll show you how to numerically solve these equations. - It gives you independence and self-reliance in analyzing any kind of experimental data.
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python. Perfect when you need 2d physics in your game, demo or simulation! It is built on top of the very capable 2d physics library Chipmunk.
A rod in 2D has 3 degrees of freedom (2 velocities/positions + 1 rotation/angular freq).
I would represent the position of the center which is modified by forces in the usual way and calculate the position of the particles using the rotation (for simplicity, about the center of the system) variable.
The rotation is modified by forces by
ang_accel = F * r * sin (angle(F,r)) / (2*M * r^2)
Where
ang_accel
is the angular acceleration
F
is a force acting on a particular ball so there is 2 torques* that add up as there is two forces that add up (vector-wise) in order to update the position of the center.
r
is half of the lengthangle(F,r)
is the angle between the force vector and the radius vector (from the center to the particle that suffers the force),
So thatF * r * sin (angle(F,r))
is the torque about the center, and2*M * r^2
is the moment of inertia of the system of two points around the center.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With