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Physical Pendulum01:06

Physical Pendulum

2.1K
When a rigid body is hanging freely from a fixed pivot point and is displaced, it oscillates similar to a simple pendulum and is known as a physical pendulum. The period and angular frequency of a physical pendulum are obtained by using the small-angle approximation and drawing parallels with a spring-mass system. The small-angle approximation (sinθ=θ) is valid up to about 14°.
When dealing with complicated systems, the mass moment of inertia is an important parameter, as it...
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Simple Pendulum01:10

Simple Pendulum

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A simple pendulum consists of a small diameter ball suspended from a string, which has negligible mass but is strong enough to not stretch. In our daily life, pendulums have many uses, such as in clocks, on a swing set, and on a sinker on a fishing line. 
The period of a simple pendulum depends on two factors: its length and the acceleration due to gravity. The period is completely independent of any other factors, such as mass or maximum displacement. For small displacements, a pendulum...
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Torsional Pendulum01:09

Torsional Pendulum

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A torsional pendulum involves the oscillation of a rigid body in which the restoring force is provided by the torsion in the string from which the rigid body is suspended. Ideally, the string should be massless; practically, its mass is much smaller than the rigid body's mass and is neglected.
As long as the rigid body's angular displacement is small, its oscillation can be modeled as a linear angular oscillation. The amplitude of the oscillation is an angle. The role of mass is played...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Forced Oscillations01:06

Forced Oscillations

7.0K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
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Problem Solving: Dimensional Analysis01:08

Problem Solving: Dimensional Analysis

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Every mathematical equation that connects separate distinct physical quantities must be dimensionally consistent, which implies it must abide by two rules. For this reason, the concept of dimension is crucial. The first rule is that an equation's expressions on either side of an equality must have the exact same dimension, i.e., quantities of the same dimension can be added or removed. The second rule stipulates that all popular mathematical functions, such as exponential, logarithmic, and...
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Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
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A study of the double pendulum using polynomial optimization.

J P Parker1, D Goluskin2, G M Vasil3

  • 1Emergent Complexity in Physical Systems Laboratory (ECPS), École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

Chaos (Woodbury, N.Y.)
|October 31, 2021
PubMed
Summary
This summary is machine-generated.

Researchers used computational methods to find initial positions for a double pendulum that prevent flipping. The study provides inner approximations to the complex fractal set of safe initial conditions in chaotic systems.

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Area of Science:

  • Dynamical Systems and Control Theory
  • Computational Mathematics
  • Chaos Theory

Background:

  • Barrier functions guarantee trajectories avoid specific sets in dynamical systems.
  • Sum-of-squares conditions and convex optimization are used to construct barrier functions computationally.
  • Chaotic systems present challenges in characterizing initial condition sets.

Purpose of the Study:

  • To investigate the effectiveness of computational barrier function methods in characterizing initial conditions for chaotic systems.
  • To determine which stationary initial positions of an undamped double pendulum avoid flipping within a specified time.
  • To approximate the fractal set of safe initial conditions.

Main Methods:

  • Utilizing barrier functions derived from polynomial inequalities and sum-of-squares conditions.
  • Employing convex optimization for computational construction of barrier functions.
  • Analyzing the undamped double pendulum as a model chaotic system.

Main Results:

  • Computed semialgebraic sets that serve as inner approximations to the set of initial positions avoiding pendulum flipping.
  • Demonstrated the application of computational barrier functions in a chaotic dynamical system.
  • Characterized a subset of initial conditions that ensure predictable behavior within a time window.

Conclusions:

  • Computational barrier functions provide practical inner approximations for complex sets in chaotic systems.
  • The methods offer a way to analyze and predict the behavior of dynamical systems with potential for chaos.
  • Further research can refine these approximations for more accurate characterization of system dynamics.