Double Pendulum Simulation in Processing: A Step-by-Step Coding Challenge

Added:

Double Pendulum
Setup
Initial Render
Second Part
Trail Effect
Integration
Formula One
Formula Two
Fine Tuning
Variations

Double Pendulum

0:01
Playing Section
  • 1

    Introduces the double pendulum simulation challenge.

  • 2

    Outlines the main goal of tracing the chaotic path.

  • 3

    Mentions formula-based physics approach.

Fundamentals of the Processing programming environment, including the canvas coordinate system, the draw loop, and basic vector math.
Basic physics of a simple gravity pendulum, specifically angular displacement, angular velocity, and angular acceleration.
Trigonometric functions (sine and cosine) used for converting polar coordinates to Cartesian coordinates for rendering.
Introductory numerical integration concepts, such as Euler's method for updating state variables over discrete time steps.
Lagrangian mechanics, which provides the analytical framework to derive the equations of motion for complex, constrained systems.
Chaos theory and the butterfly effect, studying how chaotic systems exhibit extreme sensitivity to initial conditions.
Advanced numerical solvers, such as the fourth-order Runge-Kutta (RK4) method, to prevent energy drift in the simulation.
Generalizing the simulation to N-pendulum systems or incorporating elastic connections (spring-pendulums).
929.5K views19Klikes31:11@TheCodingTrainOriginal Release: 2018-02-13

A double pendulum simulation can be created by implementing the angular acceleration formulas derived from Newtonian mechanics, which involve calculating the accelerations of both angles based on their respective masses, lengths, gravitational forces, and relative positions; this chaotic system produces complex, unpredictable trajectories that can be visualized using computer graphics.