3d Rigid Body Kinematics: Multiple Frames Velocity

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Algorithms, Math, and Physics

Planar rigid body kinematics: multiple frames velocity

In this blog post, I explore the extension of rotational kinematics from planar to three-dimensional motion. I focus on the concept of angular velocity as a vector quantity and derive several key properties.

In two dimensions, angular velocity is a scalar quantity representing the rate of change of an angle. However, in three dimensions, rotation becomes more complex, requiring a vector representation. This vector, denoted by \boldsymbol{\omega}, not only gives the rate of rotation but also defines the axis of rotation.

The fundamental equation relating the time derivative of a vector \mathbf{V} as observed in two different frames (1 and 2) is:

\frac{\mathrm d\mathbf{V}}{\mathrm dt} \bigg|_1 = \frac{\mathrm d\mathbf{V}}{\mathrm dt} \bigg|_2 + \boldsymbol{\omega} \times \mathbf{V}

where \boldsymbol{\omega} is the angular velocity of frame 2 relative to frame 1.

A property of angular velocity is its uniqueness. If we assume two angular velocity vectors, \boldsymbol\omega_1 and \boldsymbol\omega_2, describe the same rotation, we have:

Another property relates the angular velocity of frame 2 relative to frame 1 (\boldsymbol\omega_{2/1}) to the angular velocity of frame 1 relative to frame 2 (\boldsymbol\omega_{1/2}):

\boldsymbol\omega_{1/2} = -\boldsymbol\omega_{2/1}

The addition theorem for angular velocities is essential for analyzing systems with multiple rotating frames. It states:

\boldsymbol\omega_{3/1} = \boldsymbol\omega_{3/2} + \boldsymbol\omega_{2/1}

This theorem is useful in situations where I need to determine the overall rotation of a system composed of multiple rotating parts.

For more insights into this topic, you can find the details here.